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Tytuł:
Data analysis and flow graphs
Autorzy:
Pawlak, Z.
Powiązania:
https://bibliotekanauki.pl/articles/308986.pdf
Data publikacji:
2004
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
data mining
data independence
flow graph
Bayes' rule
Opis:
In this paper we present a new approach to data analysis based on flow distribution study in a flow network. Branches of the flow graph are interpreted as decision rules, whereas the flow graph is supposed to describe a decision algorithm. We propose to model decision processes as flow graphs and analyze decisions in terms of flow spreading in the graph.
Źródło:
Journal of Telecommunications and Information Technology; 2004, 3; 18-22
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modern methods of data analysis in sociology
Autorzy:
Hartmann, Wolfgang
Powiązania:
https://bibliotekanauki.pl/articles/747625.pdf
Data publikacji:
1985
Wydawca:
Polskie Towarzystwo Matematyczne
Tematy:
Sociology
Opis:
W pierwszych dwóch rozdziałach analizujemy za pomocą metody skalowania wielowymiarowego i metody skalowania wielowymiarowego różnic indywidualnych pewien praktyczny przykład, a w trzecim rozdziale - dla porównania - przedstawiamy wyniki analizy tego samego przykładu za pomocą hierarchicznej analizy skupień.
Several methods of multidimensional scaling are first reviewed. The emphasis is not on mathematical intricacies of estimating techniques but on general formulation of the problem itself. A practical example is analyzed by means of multidimensional scaling and individual differences scaling methods. In the last chapter the same example is investigated for comparative reasons using hierarchical cluster analysis.
Źródło:
Mathematica Applicanda; 1985, 12, 24
1730-2668
2299-4009
Pojawia się w:
Mathematica Applicanda
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Visual data analysis with computational intelligence methods
Autorzy:
Kruse, R.
Steinbrecher, M.
Powiązania:
https://bibliotekanauki.pl/articles/200693.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
visual data analysis
computational intelligence methods
Opis:
Visual data analysis is an appealing and increasing field of application. We present two related visual analysis approaches that allow for the visualization of graphical model parameters and time-dependent association rules. When the graphical model is defined over purely nominal attributes, its local structure can be interpreted as an association rule. Such association rules comprise one of the most prominent and wide-spread analysis techniques for pattern detection, however, there are only few visualization methods. We introduce an alternative visual representation that also incorporates time since patterns are likely to change over time when the underlying data was collected from real-world processes. We apply the technique to both an artificial and a complex real-life dataset and show that the combined automatic and visual approach gives more and faster insight into the data than a fully-automatic approach only. Thus, our proposed method is capable of reducing considerably the analysis time.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2010, 58, 3; 393-401
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Selected methods of project and data analysis
Autorzy:
Gembalska-Kwiecień, Anna
Powiązania:
https://bibliotekanauki.pl/articles/27313459.pdf
Data publikacji:
2022
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
company management
data analysis methods
project risk
zarządzanie firmą
metody analizy danych
ryzyko projektowe
Opis:
Purpose: Presentation of selected methods of project and data analysis - describes how data on ongoing projects should be collected, so that it can be used later, by applying the appropriate methodology. Design/methodology/approach: Literature research of the subject was carried out. Finding: Having a methodology for data collection leads, in the long term, to the implementation of a system that allows the use of this methodology. The system should provide information to help make better decisions, reducing or eliminating the risk of project failure. Practical implications: Development of a methodology of data collection and analysis on this basis. Originality/value: The implemented projects are comparable with each other and, on this basis, it can be argued that identifying the risks that have occurred in the past, during the implementation of various stages of projects, can contribute to more effective risk management during the implementation of current and future projects.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2022, 161; 7--22
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
KTDA: emerging patterns based data analysis system
Autorzy:
Podraża, Roman
Tomaszewski, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/764705.pdf
Data publikacji:
2006
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Źródło:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2006, 4, 1
1732-1360
2083-3628
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Digital Data Analysis Technology in Education
Autorzy:
Kovalev, Evgeniy E.
Powiązania:
https://bibliotekanauki.pl/articles/2044840.pdf
Data publikacji:
2021-12-28
Wydawca:
Uniwersytet Rzeszowski
Tematy:
information systems and services in education
integration of digital resources andservices
analysis of big data in education
interoperability of digital systems and data portability
Opis:
The main directions of digitalization of the education system are considered, the infrastructural and technological aspect of new strategic directions of development is analyzed. The author analyzed information systems and services in education, taking into account the possibility of using technologies for analytical data processing. The problem of using data analytics tools in education at present is the lack of uniform formats and tools for integrating information systems. Data in education accumulates in various solutions that do not share the results of the educational process. Based on this, it is impossible to build a clear system of end-to-end interaction between systems on common platforms. The author aims to solve this problem by modeling an integrated solution for data analysis at all levels of education. The article proposes technical and organizational solutions for the creation of integrated analytics services that allow accumulating and transmitting data on educational results during the transition of a student between learning levels. The analysis tools are based on the use of big data technologies.
Źródło:
Journal of Education, Technology and Computer Science; 2021, 12, 2(32); 132-140
2719-6550
Pojawia się w:
Journal of Education, Technology and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Visualization as support for web honeypot data analysis
Autorzy:
Cabaj, K.
Powiązania:
https://bibliotekanauki.pl/articles/94737.pdf
Data publikacji:
2015
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
HoneyPot systems
visualization
data mining
monitoring
systemy honeypot
wizualizacja
Opis:
The paper presents methodologies associated with visualization, which supports data analysis. Analyzed data has been gathered by HoneyPot systems deployed in the network of Institute of Computer Science. Due to the vast amounts of data, the manual analysis was almost impossible and very impractical, also considering time constraints. Introduced visualization techniques and supporting filtering features are implemented in HPMS (HoneyPot Management System). The paper describes in details two introduced methodologies which support data analysis using both charts and graphs. The first one is used for the discovery of basic activities observed by HoneyPot. The second one is used for advanced analysis of machines used during attacks concerning PhpMyAdmin software.
Źródło:
Information Systems in Management; 2015, 4, 1; 14-25
2084-5537
2544-1728
Pojawia się w:
Information Systems in Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Deep data analysis in gigabit passive optical networks
Autorzy:
Horvath, T.
Krkos, R.
Dubravec, L.
Powiązania:
https://bibliotekanauki.pl/articles/174869.pdf
Data publikacji:
2017
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
GPONXpert
gigabit passive optical networks
GPON
signalling
user plane
frame structure
payload analysis
Opis:
This paper focuses on practical aspects of gigabit passive optical networks (GPON) diagnostics during deployment, for root-cause analysis and for research purposes. While GPON signalling analysis is already quite commonly used for diagnostics, the aim of this work is a holistic approach, including both signalling and user plane (payload) analysis. User plane analysis, especially if targeted at payload Ethernet, IP and transport layers, enables detection of additional group of problems that could limit or even prevent GPON internetworking and thus degrade the user perceived service quality. Integrated signalling and payload analysis is also interesting from the research point of view, leading to the ability to study equipment idiosyncrasies that would be hard to detect otherwise and it is also one of the enablers of equipment security verification. The mentioned theories were tested during a practical diagnostic session on a real GPON network deployment and this paper presents the findings.
Źródło:
Optica Applicata; 2017, 47, 1; 157-170
0078-5466
1899-7015
Pojawia się w:
Optica Applicata
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Manganese Distribution in CdMnTeSe Crystals. EXAFS Data Analysis
Autorzy:
Kisiel, A.
Łażewski, J.
Zimnal-Starnawska, M.
Burattini, E.
Mycielski, A.
Powiązania:
https://bibliotekanauki.pl/articles/1952538.pdf
Data publikacji:
1996-11
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
61.10.-i
61.72.Vv
75.50.Pp
Opis:
The extended X-ray absorption fine structure (EXAFS) technique has been used to investigate the first shell coordination in zinc-blende quaternary Cd$\text{}_{1-x}$Mn$\text{}_{x}$Te$\text{}_{1-y}$Se$\text{}_{y}$ (0.0 ≤ x ≤ 0.15; 0.0 ≤ y ≤ 0.20) alloys. The experimental data have been collected with the use of synchrotron radiation. All the nearest-neighbour distances have been found as linearly dependent on Se and Mn concentration. For each composition a consistent deviation from full random distribution of Mn atoms around Se and Te atoms was observed. Possible reasons of preferential Mn-Se over Mn-Te pairing were discussed.
Źródło:
Acta Physica Polonica A; 1996, 90, 5; 1032-1034
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Density Based Clustering to Microarray Data Analysis
Autorzy:
Raczynski, L.
Wozniak, K.
Rubel, T.
Zaremba, K.
Powiązania:
https://bibliotekanauki.pl/articles/226804.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
microarrays
cluster analysis
DBSCAN
Opis:
In just a few years, gene expression microarrays have rapidly become a standard experimental tool in the biological and medical research. Microarray experiments are being increasingly carried out to address the wide range of problems, including the cluster analysis. The estimation of the number of clusters in datasets is one of the main problems of clustering microarrays. As a supplement to the existing methods we suggest the use of a density based clustering technique DBSCAN that automatically defines the number of clusters. The DBSCAN and other existing methods were compared using the microarray data from two datasets used for diagnosis of leukemia and lung cancer.
Źródło:
International Journal of Electronics and Telecommunications; 2010, 56, 3; 281-286
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Data analysis to evaluate reliability of a main engine
Autorzy:
Anantharaman, M.
Islam, R.
Khan, F.
Garaniya, V.
Lewarn, B.
Powiązania:
https://bibliotekanauki.pl/articles/116870.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
engine room
main engine
reliability of main engine
main engine components
Planned Maintenance System
marine engine
shipping industry
Opis:
Maritime transportation is the essence of international economy. Today, around ninety percent of world trade happens by maritime transportation via 50,000 merchant ships. These ships transport various types of cargo and manned by over a million mariners around the world. Majority of these ships are propelled by marine diesel engines, hereafter referred to as main engine, due to its reliability and fuel efficiency. Yet numerous accidents take place due to failure of main engine at sea, the main cause of this being inappropriate maintenance plan. To arrive at an optimal maintenance plan, it is necessary to assess the reliability of the main engine. At present the main engine on board vessels have a Planned Maintenance System (PMS), designed by the ship management companies, considering, advise of the engine manufacturers and/or ship’s chief engineers and masters. Following PMS amounts to carrying out maintenance of a main engine components at specified running hours, without taking into consideration the assessment of the health of the component/s in question. Furthermore, shipping companies have a limited technical ability to record the data properly and use them effectively. In this study, relevant data collected from various sources are analysed to identify the most appropriate failure model representing specific component. The data collected, and model developed will be very useful to assess the reliability of the marine engines and to plan the maintenance activities on-board the ship. This could lead to a decrease in the failure of marine engine, ultimately contributing to the reduction of accidents in the shipping industry.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 2; 403-407
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determinants of corruption: a panel data analysis of Visegrad countries
Autorzy:
Linhartová, Veronika
Halásková, Martina
Powiązania:
https://bibliotekanauki.pl/articles/22443175.pdf
Data publikacji:
2022
Wydawca:
Instytut Badań Gospodarczych
Tematy:
corruption
control of corruption
determinants
panel data analysis
Visegrad countires
Opis:
Research background: Corruption is a phenomenon that has no borders, thus hindering the proper functioning of the social, economic, and legal systems of a given state. As the rankings assessing the level of corruption in various countries show, transition economies are more vulnerable to corruption than countries that have not undergone changes in the political and economic order. The Visegrad group is an example of such countries. Despite their efforts, these countries? governments have yet to match the evaluation of corruption indices for developed European countries. Purpose of the article: This study analyses the determinants of corruption in Visegrad countries to identify which determinants are the most impactful and thus should be the focus of Visegrad countries?governments when creating anti-corruption policies. Methods: Data for the period 1996?2019 from the databases of the World Bank, Transparency International, and the European Central Bank were used for panel data analysis. The study uses a comprehensive set of economic, socio-cultural, and political determinants that can influence corruption. The purpose of this large set of variables is to prevent possible distortion owing to omitted variables. Findings & value added: The results of the analysis of panel data show the main determinants of corruption in Visegrad countries are economic, political, and socio-cultural (phase of economic development, openness of the economy, size of the public sector, degree of urbanization, and women's share in the labour force). A significant effect was also demonstrated in the case of regulatory quality and public sector wages. The findings can serve as a valuable resource for policymakers to develop government policies in individual countries and to implement effective anti-corruption tools.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2022, 17, 1; 51-79
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Accuracy of tree height estimation based on LIDAR data analysis
Autorzy:
Sterenczak, K.
Zasada, M.
Powiązania:
https://bibliotekanauki.pl/articles/38315.pdf
Data publikacji:
2011
Wydawca:
Instytut Badawczy Leśnictwa
Tematy:
laser scanning
forest inventory
LIDAR laser scanner
data analysis
segmentation
tree number
Opis:
Some modern remote sensing technologies, including LIDAR (LIght Detection And Ranging), have significantly developed recently. Laser scanners mounted on the airborne platform make it possible to collect very precise information over large areas, including tree and stand heights. A literature review shows that the model-based method of tree height determination underestimates this parameter in comparison to field measurements. The objective of the study was to analyze accuracy of the automatic height estimation of Scots pine stands, based on the airborne laser scanning data and the example of the Milicz Forest District. Applied algorithm of the stand segmentation into individual trees gave systematic and significant underestimation of the number of trees. The minimum tree height was estimated with a large negative error reaching up to several meters. The maximum mean and top heights were determined more precisely, with a small negative error of a few percent. The sum of tree heights was determined with an error exceeding 40%, which is caused mostly by the error in estimation of the number of trees.
Źródło:
Folia Forestalia Polonica. Series A . Forestry; 2011, 53, 2
0071-6677
Pojawia się w:
Folia Forestalia Polonica. Series A . Forestry
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A data analysis based methodology of ERP system evaluation
Autorzy:
Kłos, S.
Patalas, J.
Woźniak, W.
Powiązania:
https://bibliotekanauki.pl/articles/118019.pdf
Data publikacji:
2007
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
ERP
business process
decision support
data analyze
project driven enterprise
Opis:
Enterprise Resource Planning (ERP) are nowadays a software packages that can support all business activities of enterprises [1], [8], [10], [11]. The production enterprises often implement an ERP systems to improve important functions in such functional areas as sales, product design and technology, material management, purchasing or production planning. Absolute majority of them implement ERP in administration areas such as human resource, controlling, financial accounting or capital assets. The implementation of ERP is expensive and time-consuming process that often can fall flat. The enterprises that successfully implemented ERP don’t want to change the system long time to unique disturbances. But employers of the enterprise realize only the transactions in ERP that are necessary for property workflows and managers analysis. The lack of important data in the ERP system can result with impossibility of strategic analyses performance [12], [14], [16]. In the situation ERP can not support strategic decisions of managers too. In the paper an ERP evaluation method based on data analysis is proposed. The authors of the article claim that value of ERP system is consist of two important components: possibility for improving of critical business processes and possibility for critical decision support. The model of ERP evaluation system for project driven enterprise is proposed. The illustrative examples are given.
Źródło:
Applied Computer Science; 2007, 3, 1; 55-72
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
FUNCTIONAL EXPLORATORY DATA ANALYSIS OF UNEMPLOYMENT RATE FOR VARIOUS COUNTRIES
Autorzy:
Jaworski, Stanislaw
Powiązania:
https://bibliotekanauki.pl/articles/453521.pdf
Data publikacji:
2013
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
B-splines basis system
smoothing with roughness penalty functional principal component analysis
cluster analysis
depth measures
unemployment rate
Opis:
Functional exploratory techniques are applied in the analysis of an unemployment rate. The rate is smoothed into differentiable function in order to facilitate the analysis. The main aim of the analysis is assigned to find out the unemployment curves which do not follow the same pattern as that of the other ones.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2013, 14, 1; 180-189
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Functional data analysis and its application to local damage detection
Autorzy:
Leśkow, Jacek
Skupień, Maria
Powiązania:
https://bibliotekanauki.pl/articles/1359226.pdf
Data publikacji:
2019-04-25
Wydawca:
Główny Urząd Statystyczny
Tematy:
informative frequency band
Opis:
Vibration signals sampled with a high frequency constitute a basic source of information about machine behaviour. Few minutes of signal observations easily translate into several millions of data points to be processed with the purpose of the damage detection. Big dimensionality of data sets creates serious difficulties with detection of frequencies specific for a particular local damage. In view of that, traditional spectral analysis tools like spectrograms should be improved to efficiently identify the frequency bands where the impulsivity is most marked (the so-called informative frequency bands or IFB). We propose the functional approach known in modern time series analysis to overcome these difficulties. We will process data sets as collections of random functions to apply techniques of the functional data analysis. As a result, we will be able to represent massive data sets through few real-valued functions and corresponding parameters, which are the eigenfunctions and eigenvalues of the covariance operator describing the signal. We will also propose a new technique based on the bootstrap resampling to choose the optimal dimension in representing big data sets that we process. Using real data generated by a gearbox and a wheel bearings we will show how these techniques work in practice.
Źródło:
Statistics in Transition new series; 2019, 20, 1; 131-151
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Detection of the Chemical Agents Based on Hyperspectral Data Analysis
Autorzy:
Rutkowski, Paweł
Kastek, Mariusz
Powiązania:
https://bibliotekanauki.pl/articles/114184.pdf
Data publikacji:
2019
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
hyperspectral detection
infrared imaging
spectroradiometer
Opis:
Implementing new methods of detection and identification of gases using an infrared imaging Fourier-transform spectrometer is discussed in the paper. It’s focused on using a multi-function toolbox to get the best results possible. It shows how combining different methods can improve gas detection and identification on a real life example during manhole observation.
Źródło:
Measurement Automation Monitoring; 2019, 65, 1; 19-21
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Heating-Induced Conversion of Sr-Contaminated Brushite - EXAFS Data Analysis
Autorzy:
Rokita, E.
Łażewski, J.
Hermes, C.
Nolting, H.-F.
Powiązania:
https://bibliotekanauki.pl/articles/1931728.pdf
Data publikacji:
1994-11
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
78.70.Dm
Opis:
The extended X-ray absorption fine structure method was applied to determine changes of the coordination parameters of Sr atoms during the thermal conversion of Sr-contaminated brushite into calcium pyrophosphate. The results revealed that the changes of the crystallographic structure induced by heating are correlated with the rearrangement of the Sr environment. It was also confirmed that Sr may be used as a marker of Ca in cases of thermal conversions of orthophosphate groups into pyrophosphate groups.
Źródło:
Acta Physica Polonica A; 1994, 86, 5; 767-770
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identification of advanced data analysis in marketing: A systematic literature review
Autorzy:
Bąska, Mateusz
Dudycz, Helena
Pondel, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/522286.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Advanced data analysis
Big data analytics
Marketing
Systematic review
Opis:
Aim/purpose – Marketing is an important area of activity for the vast majority of enterprises. Many of them try using marketing data analysis. Both the literature and the practice of many enterprises describe the use of advanced data analysis. However, interpretations of this concept differ. The aim of this paper is to identify the interpretation of advanced data analysis in marketing, in support of decision-making processes applied in the retail trading sector. Design/methodology/approach – The study was conducted using a systematic literature review, suggested by B. Kitchenham (2004), extended by C. Wohlin & R. Prikladniki (2013). This method was modified and expanded through the division of the whole study into two phases. Each phase is intended to facilitate obtaining answers to different important research questions. The first phase constitutes an exploratory study, whose results allow the detailed analysis of the literature in the second phase of the study. Findings – The results of this study of the relevant literature indicate that scholarly publications do not use the phrase ‘advanced data analysis’, and its context is described with the term ‘data analysis’. Another term used broadly within the sphere of data analysis is ‘big data’. The concept of ‘data analysis’ in marketing is focused around the term ‘big data analytics’ and terms linked to the word ‘customer’, such as ‘customer-centric’, ‘customer engagement’, ‘customer experience’, ‘customer targeting service’, and ‘customers classification’. The study of the literature undertaken indicates that marketing employs data analysis in such areas as customer needs identification and market segmentation. Research implications/limitations – The study of the literature review was carried out using selected four databases containing publications, i.e. Web of Science, IEEE, Springer and ACM for the period 2008 to 2018. The research described in the article can be continued in two ways. First, by analysing the literature presented in this paper on advanced data analysis in marketing using the method called snowball sampling. Secondly, the results obtained from the first stage of the study can be used to conduct the study with other databases. Originality/value/contribution – The main contribution of this work is the proposal of modifying the systematic literature review method, which was expanded through the introduction of two phases. This division of two stages is important for conducting studies of literature when there are no clear, established definitions for the concepts being employed. The result of the study is also a set of ordered terms and their meanings that clearly define advanced data analysis in marketing.
Źródło:
Journal of Economics and Management; 2019, 35; 18-39
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applications of rough sets in big data analysis: An overview
Autorzy:
Pięta, Piotr
Szmuc, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/2055175.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
rough sets theory
big data analysis
deep learning
data mining
teoria zbiorów przybliżonych
duży zbiór danych
uczenie głębokie
eksploracja danych
Opis:
Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications. Processing massive amounts of data generated by the IoT and stored in distributed space is not a straightforward task and may cause many problems. During the last few decades, scientists have proposed many interesting approaches to extract information and discover knowledge from data collected in database systems or other sources. We observe a permanent development of machine learning algorithms that support each phase of the data mining process, ensuring achievement of better results than before. Rough set theory (RST) delivers a formal insight into information, knowledge, data reduction, uncertainty, and missing values. This formalism, formulated in the 1980s and developed by several researches, can serve as a theoretical basis and practical background for dealing with ambiguities, data reduction, building ontologies, etc. Moreover, as a mature theory, it has evolved into numerous extensions and has been transformed through various incarnations, which have enriched expressiveness and applicability of the related tools. The main aim of this article is to present an overview of selected applications of RST in big data analysis and processing. Thousands of publications on rough sets have been contributed; therefore, we focus on papers published in the last few years. The applications of RST are considered from two main perspectives: direct use of the RST concepts and tools, and jointly with other approaches, i.e., fuzzy sets, probabilistic concepts, and deep learning. The latter hybrid idea seems to be very promising for developing new methods and related tools as well as extensions of the application area.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2021, 31, 4; 659--683
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bioenergy innovations and their determinants: a negative binominal count data analysis
Autorzy:
Brolund, J.
Lundmark, R.
Powiązania:
https://bibliotekanauki.pl/articles/52581.pdf
Data publikacji:
2014
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Technologii Drewna
Tematy:
economics
renewable energy
energy policy
bioenergy
innovation
patent
data analysis
energy production
global production
Opis:
The research employed a negative binominal count data model approach to analyse the determinants of bioenergy innovations with a special focus on the effect of energy and climate policies. A panel of 14 OECD countries were analysed using patent counts for the period 1978–2009 as a proxy for innovations. The policies examined were feed-in tariffs, quota obligations and different types of investment support schemes. The study found that feed-in tariffs affected innovation positively but quota obligations did not. The results regarding investment support programs were ambiguous since the dummy variable representing strong investment policies was statistically significant whereas the continuous variable for investment support schemes was not. Another finding was that electricity prices seemed to be an import-ant determinant of innovation and that the accumulated stock of knowledge in the bioenergy sector also had a positive impact on bioenergy innovation.
Źródło:
Drewno. Prace Naukowe. Doniesienia. Komunikaty; 2014, 57, 192
1644-3985
Pojawia się w:
Drewno. Prace Naukowe. Doniesienia. Komunikaty
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza danych w informatyce śledczej
Data Analysis in Computer Forensics
Autorzy:
Gwizd, Przemysław
Powiązania:
https://bibliotekanauki.pl/articles/557190.pdf
Data publikacji:
2013
Wydawca:
Krakowska Akademia im. Andrzeja Frycza Modrzewskiego
Opis:
The objective of computer forensics is to collect and analyse data from all sorts of electronic devices, which when properly preserved at the moment of acquisition may become credible evidence proving or disproving suspicions of abuse or offense. The process of computer forensics can traditionally be broken down into four stages: acquiring data; recovering and restoring data; analysis; final expert report. The paper is a detailed discussion of the stages of computer forensics process.
Celem informatyki śledczej jest zgromadzenie i analiza danych ze wszelkiego rodzaju urządzeń elektronicznych, które odpowiednio zabezpieczone w momencie pozyskania mogą stać się wiarygodnymi dowodami potwierdzającymi lub obalającymi podejrzenia nadużyć bądź przestępstw. Proces informatyki śledczej tradycyjnie możemy podzielić na cztery etapy: zbieranie informacji; odtwarzanie i odzyskiwanie danych; analiza; końcowy raport ekspertów. Artykuł zawiera szczegółowe omówienie poszczególnych etapów procesu informatyki śledczej.
Źródło:
Bezpieczeństwo. Teoria i Praktyka; 2013, 4; 43-58
1899-6264
2451-0718
Pojawia się w:
Bezpieczeństwo. Teoria i Praktyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Pattern Recognition Algorithm for Eye Tracker Sensor Video Data Analysis
Autorzy:
Murawski, K.
Różanowski, K.
Powiązania:
https://bibliotekanauki.pl/articles/1399387.pdf
Data publikacji:
2013-09
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
42.30.Sy
42.30.Va
07.05.Pj
Opis:
The aim of the paper is to discuss research conducted at the Military University of Technology as well as the Military Institute of Aviation Medicine. The essence of the research is to develop a pattern recognition algorithm for the analysis of data received from an eye tracker sensor. Data analysis can be done using computer vision algorithms. In the article the state of the art pattern recognition algorithms were presented. Particular attention was paid to the possibilities and limitations of their use. The main part of the paper is the presentation of the author's pattern recognition algorithm. In the paper we have also shown the results obtained by other techniques of image processing, which are frequently used to determine the position of the pupil of the eye on the image.
Źródło:
Acta Physica Polonica A; 2013, 124, 3; 509-512
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Przegląd analiz stosowanych w eksperymencie mikromacierzowym
Microarray data analysis - review
Autorzy:
Siatkowski, I.
Zyprych, J.
Powiązania:
https://bibliotekanauki.pl/articles/9669.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Przyrodniczy w Lublinie. Katedra Zastosowań Matematyki i Informatyki
Tematy:
mikromacierze
mikromacierze cDNA
analiza statystyczna
normalizacja
klasteryzacja
analiza danych
Źródło:
Colloquium Biometricum; 2008, 38
1896-7701
Pojawia się w:
Colloquium Biometricum
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Compositional Data Analysis as a tool for interpretation of rock porosity parameters
Autorzy:
Labus, M.
Powiązania:
https://bibliotekanauki.pl/articles/2058919.pdf
Data publikacji:
2005
Wydawca:
Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy
Tematy:
Compositional Data Analysis
porosity
pore sizes
sandstones
Opis:
This work examines the possibility of implementing the statistical method, Compositional Data Analysis (CDA), to rock porosity measurement data. The rock samples analysed are different types of sandstones from Poland. Porosimetricmeasurements were carried out using the mercury injection capillary pressure method, together with computer image analysis. In this paper, compositions of data concerning pore distributions are analysed. Rock pores were distributed in 4 classes of pore dimensions: transitive pores, submacropores, realmacropores and over-capillary pores. Based on the CDAmethods it was revealed that: there is no constant proportion between transitive andmacropores in the sandstones analyzed; the variability of the realmacropores, over-capillary and transitive pores and the skeletal grains fraction is mainly one-dimensional. The relative variation between transitive pores and real macropores determines the variability in the sandstone stratigraphical groups; however, these groups are not very distinct as regards the pore sizes and skeletal grains proportion. The rock parameters: median pore diameter; threshold pore diameter and total pore area might be used as independent variables in equations that explain reasonable parts of variability of pore sizes and skeletal grains fraction log-ratios.
Źródło:
Geological Quarterly; 2005, 49, 3; 347-354
1641-7291
Pojawia się w:
Geological Quarterly
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
High-technology exports and economic growth: panel data analysis for selected OECD countriesHigh-technology exports and economic growth: panel data analysis for selected OECD countries
Autorzy:
Kabaklarli, Esra
Duran, Mahmut Sami
Üçler, Yasemin Telli
Powiązania:
https://bibliotekanauki.pl/articles/499412.pdf
Data publikacji:
2018
Wydawca:
Wyższa Szkoła Biznesu w Dąbrowie Górniczej
Tematy:
High technology export
GDP growth
FDI
Panel cointegration
Opis:
This paper uses a panel cointegration model to analyse the long-term relationship between high-technology exports and economic growth in selected OECD countries in the period from 1989 to 2015. We used high-technology exports (current US$) as the dependent variable and the GDP growth rate, FDI (foreign direct investment), application of patents by residents, and gross capital formation % of GDP as explanatory variables. The export structure of countries is moving increasingly towards technology-intensive products such as ICT (information and communications technology), aerospace, computing and office equipment, electronics, chemical products, pharmaceuticals, and electrical machinery. The export structure has played an important role in the economic growth theories of many countries since the 1960s, as export growth has been associated with faster productivity and GDP growth. We aimed to find out the relationship between high-technology exports and the explanatory variables which we listed for 14 selected OECD countries (Canada, Denmark, Finland, France, Germany, Israel, Korea, the Netherlands, Norway, Switzerland, Sweden, Turkey, the UK, and the USA). According to our empirical results, there is a long-term relationship between high-technology exports and economic growth in selected OECD countries. The empirical results show that an improvement in patent applications and foreign direct investment play a decisive role in upgrading selected OECD countries’ high-tech exports, while growth rate and investment play a negative role in enhancing these countries’ high-tech exports.
Źródło:
Forum Scientiae Oeconomia; 2018, Volume 6 (2018) Issue No. 2: Economic Growth, Innovations and Lobbying; 47-60
2300-5947
Pojawia się w:
Forum Scientiae Oeconomia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
DETERMINANTS OF HUMAN CAPITAL DEVELOPMENT IN AFRICA: A PANEL DATA ANALYSIS
Autorzy:
Shuaibu, Mohammed
Oladayo, Popoola Timothy
Powiązania:
https://bibliotekanauki.pl/articles/488933.pdf
Data publikacji:
2016
Wydawca:
Instytut Badań Gospodarczych
Tematy:
human capital
Africa
health
education
panel data analysis
Opis:
Africa is regarded as the least developed continent in terms of overall development and specifically in terms of human capital development (HCD) efforts. Research on the determinants of HCD in Africa is scanty, as the literature is dominated by country-specific studies as well as group of country studies that primarily focus on the effect of human capital on growth and other economic development parameters. Therefore, this paper investigates the determinants of human capital development in 33 African countries over a 14-year period from 2000 to 2013. The empirical analysis is predicated on Sen’s capability approach that was modified following Binder and Georgiadis (2011) in order to explicitly account for the role of health, infrastructure and institutions as potential drivers of HCD. This is a departure from previous studies that focused primarily on the role of education. In addition to preliminary tests such as line plot, descriptive statistics and correlation analysis carried out, the data is analysed using panel unit root, co-integration and causality techniques. Findings show that all the variables are integrated of order one while HCD and its determinants have a stable long-run equilibrium relationship. Specifically, all the variables significantly influence HCD in the long run, whereas the contemporaneous models suggest that only institutions matter. Utilizing alternative estimators as well as estimation of subsamples, robustness tests reinforce our findings. Therefore, African governments may consider supporting HCD through sustained investment in the education and health sectors. At the same time, short-term gains may be attained through enhanced institutional quality and infrastructure development.
Źródło:
Oeconomia Copernicana; 2016, 7, 4; 523-549
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analizy big data w serwisach społecznościowych
Big data Analysis in Social Network
Autorzy:
Polańska, Krystyna
Wassilew, Aleksander
Powiązania:
https://bibliotekanauki.pl/articles/548338.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Rzeszowski. Wydawnictwo Uniwersytetu Rzeszowskiego
Tematy:
big data
sieci społecznościowe
polityka prywatności
social networks
political of privacy
Opis:
Analizy big data otworzyły nowy rozdział w podejściu do wnioskowania na podstawie danych pozyskiwanych z Internetu. Przede wszystkim dostępne dane mają już nie tylko historyczny charakter i nie dotyczą tylko prób z badanych populacji, ale zyskały walor aktualności i masowości dzięki ekstrakcji danych z Internetu. Nadal jednak poza obszarem obserwacji badawczych pozostali wykluczeni cyfrowo, którzy są niewidoczni w sieci choć pozostają częścią społeczeństwa. Celem artykułu jest wskazanie możliwości wykorzystania analiz dużych zbiorów danych pozyskiwanych z Internetu oraz określenie wskaźników pochodzących z sieci społecznościowych, które mogą służyć do wnioskowania w opisie zjawisk społecznych, politycznych i gospodarczych.
Analysis of big data opened a new chapter in the approach to inference on the basis of data obtained from the Internet. First of all available data no longer has just a historical nature and does not apply only to samples of the studied population, but have gained the values of current affairs and mass scale through extraction of data from the Internet. Still, beyond the research observations are thedigitally excluded who are invisible in the network although they remain a part of society. The aim of this article is to show the possibility of analysing big data obtained from the Internet to identify indicators from social networks, which can be used for inference in the description of social, political and economic phenomena.
Źródło:
Nierówności Społeczne a Wzrost Gospodarczy; 2015, 44 cz. 2; 117-128
1898-5084
2658-0780
Pojawia się w:
Nierówności Społeczne a Wzrost Gospodarczy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implementation of the SVM algorithm for high energy physics data analysis
Autorzy:
Wolter, Marcin
Zemła, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/764517.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Źródło:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2007, 6, 1
1732-1360
2083-3628
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Proposal of heuristic regression method applied in descriptive data analysis: case studies
Autorzy:
Gomes, F. A.
Assis, A. de O.
Reis, M. R. da C.
Gomes, V. M.
Oliveira, S. G. M.
Araujo, W. R. H. de
Calixto, W. P.
Powiązania:
https://bibliotekanauki.pl/articles/136229.pdf
Data publikacji:
2017
Wydawca:
EEEIC International Barbara Leonowicz Szabłowska
Tematy:
regression
data analysis
optimization
heuristic
modeling
Opis:
The purpose of this paper is to use the hybridized optimization method in order to find mathematical structures for analysis of experimental data. The heuristic optimization method will be hybridized with deterministic optimization method in order to that structures found require not knowledge about data generated experimentally. Five case studies are proposed and discussed to validate the results. The proposed method has viable solution for the analysis of experimental data and extrapolation, with mathematical expression reduced.
Źródło:
Transactions on Environment and Electrical Engineering; 2017, 2, 2; 51-57
2450-5730
Pojawia się w:
Transactions on Environment and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applications of commercial data analysis software for testing a telecommunications network
Autorzy:
Paczocha, J.
Powiązania:
https://bibliotekanauki.pl/articles/309247.pdf
Data publikacji:
2002
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
network analysis
network estimation
network performance
quality of service
PSTN/ISDN
Opis:
This paper shows practical aspect in application commercial software to analysis data concerning information from telecommunication network. The following items are discussed: example of network estimation methodology, the main advantages of network testing system delivering information concerning quality of service (QoS) and network performance (NP) from the user's perspective, general testing system description and data analysis model and example forms of presentation.
Źródło:
Journal of Telecommunications and Information Technology; 2002, 3; 69-72
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wind turbine generator slip ring damage detection through temperature data analysis
Autorzy:
Astolfi, Davide
Castellani, Francesco
Natili, Francesco
Powiązania:
https://bibliotekanauki.pl/articles/329616.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
wind energy
wind turbines
fault diagnosis
condition monitoring
principal components regression
energetyka wiatrowa
turbina wiatrowa
diagnostyka uszkodzeń
monitorowanie stanu
Opis:
The use of condition monitoring techniques in wind energy has been recently growing and the average unavailability time of an operating wind turbine in an industrial wind farm is estimated to be less than the 3%. The most powerful approach for gearbox condition monitoring is vibration analysis, but it should be noticed as well that the collected data are complex to analyse and interpret and that the measurement equipment is costly. For these reasons, several wind turbine subcomponents are monitored through temperature sensors. It is therefore valuable developing analysis techniques for this kind of data, with the aim of detecting incoming faults as early as possible. On these grounds, the present work is devoted to a test case study of wind turbine generator slip ring damage detection. A principal component regression is adopted, targeting the temperature collected at the slip ring. Using also the data collected at the nearby wind turbines in the farm, it is possible to identify the incoming fault approximately one day before it occurs.
Źródło:
Diagnostyka; 2019, 20, 3; 3-9
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Panel Data Analysis of the Creation of Green Economy in the Baltic States
Autorzy:
Žukauskienė, Joana
Snieška, Vytautas
Navickas, Valentinas
Powiązania:
https://bibliotekanauki.pl/articles/40621644.pdf
Data publikacji:
2023-12-31
Wydawca:
Politechnika Częstochowska
Tematy:
carbon dioxide
fossil fuels
green economy
panel data analysis
Opis:
Greenhouse gases are gases that increase in concentration because of human activity. Carbon dioxide accounts for the largest share of greenhouse gas emissions. The ecological environment can be improved and global warming can be mitigated by reducing carbon dioxide levels. Today, the focus around the world is on CO2 emissions into the environment. The Baltic countries that produce more electricity, such as Estonia, emit more carbon dioxide into the environment, while countries that produce less electricity, such as Lithuania and Latvia, emit less. Application of the panel data analysis of GDP per capita and CO2 emissions in millions of tonnes for the years 2000-2021 for the selected countries revealed that the calculated regression constant and coefficient for the independent variable GDP per capita are rather unreliable, which means that there is no common regression function for all these countries, but the differences in the residuals give valuable insight in the specifics of each country.
Źródło:
Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie; 2023, 1, 52; 193-202
2083-1560
Pojawia się w:
Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Determinants of Total Factor Productivity in Polish Subregions. Panel Data Analysis
Autorzy:
Dańska-Borsiak, Barbara
Laskowska, Iwona
Powiązania:
https://bibliotekanauki.pl/articles/633085.pdf
Data publikacji:
2012-12-01
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Opis:
The significant role of TFP in stimulating the long-run economic development induces researchers to seek for the sources of the TFP growth. The mail goals of the paper are: to estimate the level of TFP in the years 2003-2009 at the level of subregions, and to define the factors which determine this estimated TFP level. The first hypothesis being verified is, that the role of the quality of human capital in stimulating long-run economic growthis crucial and can be measured by the model. The second hypothesis is, that there are some factors affecting the TFP level which are common in all subregions.
Źródło:
Comparative Economic Research. Central and Eastern Europe; 2012, 15, 4; 17-29
1508-2008
2082-6737
Pojawia się w:
Comparative Economic Research. Central and Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
GNXAS: a software package for advanced EXAFS multiple-scattering calculations and data-analysis
Autorzy:
Filipponi, A.
Di Cicco, A.
Powiązania:
https://bibliotekanauki.pl/articles/1954545.pdf
Data publikacji:
2000
Wydawca:
Politechnika Gdańska
Tematy:
EXAFS
XAS
multiple-scattering
GNXAS
structure
Opis:
Computational and theoretical advances for the interpretation of the X-ray absorption spectroscopy (XAS) cross-section, and associated extended X-ray absorption fine structure (EXAFS) are the basis of an advanced software package for EXAFS data analysis, called GNXAS. This software package is composed of a series of FORTRAN programs for EXAFS data-analysis (including the main codes crymol, phagen, gnpeak, gnxas, and fitheo) together with several utility programs for sample optimization, automatic background subtraction, and edge analysis. The GNXAS package allows scientists to perform accurate multiple-scattering EXAFS calculations of the XAS cross-section achieving a reliable refinement of the structural models in the short-range. These characteristics are useful for taking full advantage of the high data quality obtained at modern synchrotron radiation facilities. The philosophy, methodology, and practical usage aspects of the main data-analysis codes are described in detail. The procedures for the estimation of statistical errors and for the data analysis of liquids and highly disordered systems are also discussed. A useful list of references on the development of the method and applications to various scientific fields is included. The content of the paper can be regarded as a full documentation and guide for proper usage of the current version of the GNXAS software.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2000, 4, 4; 575-669
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
GNXAS: a software package for advanced EXAFS multiple-scattering calculations and data-analysis
Autorzy:
Filipponi, A.
Di Cicco, A.
Powiązania:
https://bibliotekanauki.pl/articles/1954548.pdf
Data publikacji:
2000
Wydawca:
Politechnika Gdańska
Tematy:
EXAFS
XAS
multiple-scattering
GNXAS
structure
Opis:
Computational and theoretical advances for the interpretation of the X-ray absorption spectroscopy (XAS) cross-section, and associated extended X-ray absorption fine structure (EXAFS) are the basis of an advanced software package for EXAFS data analysis, called GNXAS. This software package is composed of a series of FORTRAN programs for EXAFS data-analysis (including the main codes crymol, phagen, gnpeak, gnxas, and fitheo) together with several utility programs for sample optimization, automatic background subtraction, and edge analysis. The GNXAS package allows scientists to perform accurate multiple-scattering EXAFS calculations of the XAS cross-section achieving a reliable refinement of the structural models in the short-range. These characteristics are useful for taking full advantage of the high data quality obtained at modern synchrotron radiation facilities. The philosophy, methodology, and practical usage aspects of the main data-analysis codes are described in detail. The procedures for the estimation of statistical errors and for the data analysis of liquids and highly disordered systems are also discussed. A useful list of references on the development of the method and applications to various scientific fields is included. The content of the paper can be regarded as a full documentation and guide for proper usage of the current version of the GNXAS software.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2000, 4, 4; 575-669
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Knowledge-based clustering as a conceptual and algorithmic environment of biomedical data analysis
Autorzy:
Pedrycz, W.
Gacek, A.
Powiązania:
https://bibliotekanauki.pl/articles/333706.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
wiedza i dane
grupowanie rozmyte
bliskość
włączenie
nadzór częściowy
niepewność
entropia
knowledge and data
fuzzy clustering
guidance mechanisms
proximity
inclusion
partial supervision
uncertainty
entropy
Opis:
While a genuine abundance of biomedical data available nowadays becomes a genuine blessing, it also posses a lot of challenges. The two fundamental and commonly occurring directions in data analysis deal with its supervised or unsupervised pursuits. Our conjecture is that in the area of biomedical data processing and understanding where we encounter a genuine diversity of patterns, problem descriptions and design objectives, this type of dichotomy is neither ideal nor the most productive. In particular, the limitations of such taxonomy become profoundly evident in the context of unsupervised learning. Clustering (being usually regarded as a synonym of unsupervised data analysis) is aimed at determining a structure in a data set by optimizing a given partition criterion. In this sense, a structure emerges (becomes formed) without a direct intervention of the user. While the underlying concept looks appealing, there are numerous sources of domain knowledge that could be effectively incorporated into clustering mechanisms and subsequently help navigate throughout large data spaces. In unsupervised learning, this unified treatment of data and domain knowledge leads to the general concept of what could be coined as knowledge-based clustering. In this study, we discuss the underlying principles of this paradigm and present its various methodological and algorithmic facets. In particular, we elaborate on the main issues of incorporating domain knowledge into the clustering environment such as (a) partial labelling, (b) referential labelling (including proximity and entropy constraints), (c) usage of conditional (navigational) variables, (d) exploitation of external structure. Presented are also concepts of stepwise clustering in which the structure of data is revealed via a series of refinements of existing domain granular information.
Źródło:
Journal of Medical Informatics & Technologies; 2004, 7; KB13-22
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
ISO 9001 standard management system certification - data analysis for sectors by country
Autorzy:
Hys, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/104102.pdf
Data publikacji:
2019
Wydawca:
Stowarzyszenie Menedżerów Jakości i Produkcji
Tematy:
ISO 9001
certifications
sectors by country
certyfikaty
sektory
Opis:
The purpose of the paper is to analyse and demonstrate the trends in the scope of data concerning the number of ISO 9001 certificates incorporated in companies around the world with consideration of market division into 39 sectors. The study utilised the desk research method for analysing the available sources of data for the studied problem, especially covering their compilation, mutual verification, processing and reasoning. Then, multi-dimensional comparative analyses were conducted for the obtained results within a time framework of 1998-2017. As result of the conducted analyses, leading sectors in particular countries in terms of the number of incorporated ISO 9001 series standards were established. This enabled identifying the tendencies and determining the further directions of change. The paper is original in that it is based on analysing data within an industry framework in the period of nine years, identifying existing trends and establishing specific cases (countries and industries) for which the ISO 9001 standards are common and for which they are a niche.
Źródło:
Quality Production Improvement - QPI; 2019, 1, 1; 162-169
2657-8603
Pojawia się w:
Quality Production Improvement - QPI
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simple adaptive filter as a part of information system for market data analysis
Autorzy:
Janowicz, M.
Kietlińska, K.
Zembrzuski, A.
Powiązania:
https://bibliotekanauki.pl/articles/95037.pdf
Data publikacji:
2014
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
Warsaw Exchange Markets
adaptive filters
stationary time series
Giełda Papierów Wartościowych
filtry adaptacyjne
stacjonarne szeregi czasowe
Opis:
Application of the simple least mean squares (LMS) adaptive filter of to the Warsaw Exchange Market (GPW) has been analyzed using stocks belonging to WIG20 group as examples. LMS filter has been used as a binary classifier, that is, to forecast the sign of changes in the (normalized) stock values. Two kinds of data has been used, namely, the differenced and double differenced normalized close values of stocks. It has been shown that while the predictive power of LMS filter is virtually zero for the differenced series, it rises significantly in the case of double-differenced series for all analyzed stocks. We attribute this to the better stationarity properties of the double differenced time series.
Źródło:
Information Systems in Management; 2014, 3, 4; 221-228
2084-5537
2544-1728
Pojawia się w:
Information Systems in Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Educational effects on the labor market in Poland: data analysis and modelling
Autorzy:
Żyra, J.
Shevchuk, V.
Powiązania:
https://bibliotekanauki.pl/articles/95145.pdf
Data publikacji:
2012
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
unemployment
educational mismatch
higher education
2SLS and VAR estimates
career path monitoring
bezrobocie
edukacja wyższa
monitorowanie ścieżki kariery
Opis:
Although a higher student enrollment in Poland is a pro-growth factor, it is not ruled out that it contributes to a higher unemployment through one of three channels such as: (i) negative productivity effects, (ii) excessive administrative regulations, (iii) educational mismatches. In turn, educational mismatches could be a result of the “wrong” field of study choice, lack of proper competences (skills) or over-education. Our study reveals that the expansion of students on humanities, economics/business and engineering fields of study could be one of the reasons behind higher unemployment rate, but this is not the case for science/mathematics studies. The most important aspects of modeling of labor market educational effects are discussed in the context of the graduates career path monitoring project.
Źródło:
Information Systems in Management; 2012, 1, 3; 245-257
2084-5537
2544-1728
Pojawia się w:
Information Systems in Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Kognitywne aplikacje dla znaczeniowej analizy danych
Cognitive applications for semantic data analysis
Autorzy:
Ogiela, L.
Srebrny, D.
Powiązania:
https://bibliotekanauki.pl/articles/157482.pdf
Data publikacji:
2012
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
systemy UBMSS (Understanding Based Management Support Systems)
informatyka kognitywna
inteligencja obliczeniowa
inteligentne systemy informatyczne
systemy kognitywnej kategoryzacji
UBMSS systems (understanding based management support systems)
cognitive informatics
computational intelligence
intelligent IT systems
cognitive categorization systems
Opis:
W pracy przedstawione zostaną kognitywne systemy informacyjne dedykowane zagadnieniom analizy i interpretacji danych ekonomicznych. Prezentowane w niniejszej pracy systemy znaczeniowej analizy danych są przykładem systemów klasy UBMSS (Understaning Based Management Support Systems). Systemy UBMSS zostaną przedstawione na przykładzie dwu aplikacji odnoszących się do oceny płynności przedsiębiorstwa oraz do analizy przepływów pieniężnych w przedsiębiorstwie.
This paper presents cognitive information systems for analysis and interpretation of economical data. The semantic data analysis systems are examples of UBMSS (Understanding Based Management Support Systems) systems presented in this publication on two examples - for estimation of the enterprise liquidity and analysis of the financial-cash flow. One of the UBMSS systems is dedicated to analysis of solvency (very good solvency, good solvency, poor or very poor solvency) of the enterprise ratio. The second one of the analyzed systems is used for assessing the cash flow structure - favourable or unfavourable structure of financial flow and risky structure of cash flow. UBMSS systems for cognitive analysis and semantic interpretation of the analyzed economical and financial data are also dedicated to analysis of other kinds of economical data, for example cash to current liabilities ratio, balance of payment, etc.
Źródło:
Pomiary Automatyka Kontrola; 2012, R. 58, nr 2, 2; 210-213
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Data analysis of commercial aircraft landing on the runway airports in Indonesia
Autorzy:
Passarella, Rossi
Nurmaini, Siti
Rachmatullah, Muhammad Naufal
Arsalan, Osvari
Kurniati, Rizki
Aditya, Aditya
Afriansyah, Indra Gifari
Fathan, Rifqi
Yousnaidi, Rani Silvani
Veny, Harumi
Powiązania:
https://bibliotekanauki.pl/articles/27314664.pdf
Data publikacji:
2023
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
ADS-B
procedural landing safety
runway safety
touch down zone
proceduralne bezpieczeństwo lądowania
bezpieczeństwo pasa startowego
strefa przyziemienia
Opis:
A runway excursion is a runway safety issue in which an aircraft exits the runway improperly. Therefore, we believe it is necessary to conduct a data investigation of commercial airplanes landing at the airport in order to provide criticism, learning, and social control to airlines and air service policymakers in Indonesia so that they can become involved in protecting public transportation users, particularly those using air transportation. This study focuses on the procedural safety of commercial airplanes landing on the runway at airports in Indonesia. The data utilized for landing analysis is historical ADS-B data collected and acquired from the Flightradar24 website in 2019. The approach utilized in this study is exploratory data analysis (EDA), in which we explored the dataset to find trusted data (128 tier-1 data points). The results of this study showed that the aircraft that was the object of research was unlikely to land at the Touch Down Zone (TDZ), while the rest showed that its landing was highly likely outside the TDZ.
Źródło:
Zeszyty Naukowe. Transport / Politechnika Śląska; 2023, 120; 233--247
0209-3324
2450-1549
Pojawia się w:
Zeszyty Naukowe. Transport / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Near infrared [NIR] technology and multivariate data analysis for sensing taste attributes of apples
Autorzy:
Abu-Khalaf, N.
Bennedsen, B.S.
Powiązania:
https://bibliotekanauki.pl/articles/26544.pdf
Data publikacji:
2004
Wydawca:
Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:
internal quality parameter
taste
near infrared technology
apple
fruit
multivariate data analysis
Źródło:
International Agrophysics; 2004, 18, 3
0236-8722
Pojawia się w:
International Agrophysics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Data analysis and processing for the system reliability neural network based on expert judgment
Autorzy:
Nguyen, H.
Powiązania:
https://bibliotekanauki.pl/articles/246332.pdf
Data publikacji:
2014
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
artificial neural network
reliability
elicitation
AHP method
expert judgment
data correlation
Opis:
The article presents a data analysis and processing for tuning artificial neural network (ANN) of the anthrop technical system reliability, based on the opinions of experts. In general, the system reliability parameters are functions of operands – physical values – like time to failure, time between failures, duration times of specific reliability or operational states, number of failures in a time interval (event frequencies). These values are easier to be determined by an expert – operator with long year experience – than probabilistic model parameters. It is suggested that they be used in elicitation, for example linguistic estimates of the shares of reliability system elements in the system failure frequency. The numerical – linguistic elicitation of these opinions was carried out, which turned out to be uncorrelated and not suitable for tuning the network. Data processing method was used with the appropriate adopted analytic hierarchy process (AHP) geometric scale and matrix approximation method evaluations (logarithmic least squares method). Correlation analyses were performed for received input and output data of network and error of data processing method was determined. The results are shown in the example of elicitation and data correlation analyses for tuning the reliability neural network of the ship propulsion system.
Źródło:
Journal of KONES; 2014, 21, 2; 235-242
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Some sea bottom backscattering models and estimation of their usefulness for empirical data analysis
Autorzy:
Nowak, Ł.
Powiązania:
https://bibliotekanauki.pl/articles/331989.pdf
Data publikacji:
2010
Wydawca:
Polskie Towarzystwo Akustyczne
Opis:
The paper introduces two different methods of numerical computation of the time proceeding of low-frequency acoustic pulse reflected from layered sea bottom. The input of both mathematical models are time proceedings of known sampling pulses and parameters describing determined seabed structure. Parameters necessary for complete bottom description are number of sediment layers and mean grain size of specific type of sediment creating each layer. Two introduced approaches strongly differ from each other in complexity, computation time and domain, number of phenomenon taken into account in formal description of considered process. First of the presented methods is based on time analysis of sampling pulse propagation, second one treats the propagation media as a system characterized with given transmittance. The goal of introduced investigations is to estimate usefulness of results obtained with those two mathematical models for analysis empirical data gained using parametric echosounder for seabed structure examination.
Źródło:
Hydroacoustics; 2010, 13; 197-204
1642-1817
Pojawia się w:
Hydroacoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On-the-fly community-driven mobile accelerometer data analysis system for road quality assessment
Autorzy:
Badurowicz, M.
Cieplak, T.
Montusiewicz, J.
Powiązania:
https://bibliotekanauki.pl/articles/117790.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
potholes
accelerometer
roads quality
cloud computing
Opis:
In this paper the authors are discussing a community-driven system for reporting via smartphones road acceleration data, processed on-the-fly in the cloud computing system for finding possible road artefacts as well as assessing overall road quality on the driver-friendly RRUI scale. The proposed system uses smartphones mounted in a car with little to no calibration or initial setup. By performing a fast analysis in the cloud, data are made immediately available for other users. The system continuously sends to end users' devices data about road quality issues "in exchange" for acceleration information.
Źródło:
Applied Computer Science; 2016, 12, 4; 18-27
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy comprehensive model of manufacturing industry transfer risk based on economic big data analysis
Autorzy:
Sun, Tong
Liu, Chunzhi
Powiązania:
https://bibliotekanauki.pl/articles/2173644.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
economic big data
manufacturing industry
industrial transfer risk
entropy weight method
fuzzy model
duże zbiory danych ekonomicznych
przemysł wytwórczy
ryzyko transferu przemysłowego
metoda wag entropii
model rozmyty
Opis:
Aiming at the problems of low accuracy, low efficiency and low stability of traditional methods and recent developments in advanced technology incite the industries to be in sync with modern technology. With respect to various available techniques, this paper designs a fuzzy comprehensive evaluation model of the manufacturing industry for transferring risk based on economic big-data analytics. The big-data analysis method is utilized to obtain the data source of fuzzy evaluation of the manufacturing industry to transfer risk using data as the basis of risk evaluation. Based on the risk factors, the proposed model establishes the risk index system of the manufacturing industry and uses the expert evaluation method to design the scoring method of the evaluation index system. To ensure the accuracy of the evaluation results, the manufacturing industry’s fuzzy comprehensive model is established using the entropy weight method, and the expert evaluation results are modified accordingly. The experimental results show that the highest efficiency of the proposed method is 96%, the highest accuracy of the evaluation result is 75%. The evaluation result’s stability is higher than the other existing methods, which fully verifies the effectiveness and can provide a reliable theoretical basis for enterprise risk evaluation research.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 2; art. no. e139959
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Information asymmetry, liquidity and the dynamic volume-return relation in panel data analysis
Autorzy:
Kliber, Paweł
Garsztka, Przemysław
Powiązania:
https://bibliotekanauki.pl/articles/583899.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
information asymmetry
liquidity
stocks
panel regression
Opis:
In the paper we investigate the dynamic relation between returns and volume of individual stocks traded on the Warsaw Stock Exchange. Theoretical models suggest that this relation reveals the information asymmetry in the market and the role of private information. Unlike other works, we use dynamic regression to obtain the coefficients for 52 stocks, assuming that coefficients for individual stock can vary from month to month. Then we use panel regression with random effects to test the relationship between coefficient of information asymmetry and liquidity. We find an evidence supporting the compliance of measure of information asymmetry, especially for medium and small capitalization companies.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2018, 519; 122-134
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Big Data for Anomaly Detection in Maritime Surveillance : spatial AIS Data Analysis for Tankers
Big Data for Anomaly Detection in Maritime Surveillance : Spatial Automatic Identification System Data Analysis for Tankers
Powiązania:
Zeszyty Naukowe / Akademia Marynarki Wojennej im. Bohaterów Westerplatte 2018, nr 4, s. 5-28
Współwytwórcy:
Filipiak, Dominik. Autor
Stróżyna, Milena. Autor
Węcel, Krzysztof. Autor
Abramowicz, Witold. Autor
Data publikacji:
2018
Tematy:
Bezpieczeństwo morskie państwa
Transport wodny
Tankowce
Systemy nadzoru i kontroli
Przetwarzanie danych
Analiza danych
Artykuł z czasopisma naukowego
Artykuł z czasopisma wojskowego
Opis:
Bibliografia na stronach 25-27.
Dostawca treści:
Bibliografia CBW
Artykuł
Tytuł:
Fault prevention and diagnosis through scada temperature data analysis of an onshore wind farm
Autorzy:
Astolfi, D.
Castellani, F.
Terzi, L.
Powiązania:
https://bibliotekanauki.pl/articles/328436.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
wind energy
wind turbine
SCADA
control system
fault diagnosis
energia wiatru
turbina wiatrowa
system kontroli
diagnoza
błąd
Opis:
Wind turbines, due to the distribution of the source, are an energy conversion system having low density on the territory, whose operational behaviour and production on the short term strongly depends on the stochastic nature of wind. They therefore need accurate assessment prior installation and careful condition monitoring in the operative phase. In the present work, smart post processing of Supervisory Control And Data Acquisition (SCADA) control system data sets is employed for fault prevention and diagnosis through the analysis of the temperatures of the machines. Automatic routines are developed for monitoring the evolution of all the temperature SCADA channels against power production. The methods are tested on an onshore wind farm sited in southern Italy, where nine turbines with 2 MW rated power are installed. The tests are performed both ex post and in real time: it is shown that in the former case, a major mechanical problem is detected, and in the latter case a significant problem to the cooling system is identified before compromising turbine functionality.
Źródło:
Diagnostyka; 2014, 15, 2; 71-78
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Metody analizy danych w socjologicznych badaniach rozwodów
Data Analysis Methods in Sociological Studies of Divorces
Autorzy:
Rydzewski, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/1834610.pdf
Data publikacji:
2020-05-14
Wydawca:
Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL
Tematy:
rozwód
metody analizy danych
divorce
data analysis methods
Opis:
The aim of the article is to give an answer to the question: What data analysis methods are most often used in field studies of divorces with the participation of divorced persons and/or members of their families? The source basis was constituted by a selection of sociological articles on divorces published in renowned American academic journals in 1980- 2000. In sociological studies of divorces multiple regression analysis is decidedly most often used – both as an autonomous method of analysis and together with other methods. Also logistic regression and probit models are relatively frequently used, whereas experience analysis is used more rarely. Correlation analysis is seldom used; and canonical correlation, path analysis, factor analysis, the LISREL model and cluster analysis are used only sporadically.
Źródło:
Roczniki Nauk Społecznych; 2010, 38; 275-298
0137-4176
Pojawia się w:
Roczniki Nauk Społecznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Big data analysis and simulation of distributed marine green energy resources grid-connected system
Autorzy:
Tian, J.
Huang, L.
Powiązania:
https://bibliotekanauki.pl/articles/259959.pdf
Data publikacji:
2017
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
distributed
ocean
green energy resources
grid-connected systems
big data analysis
Opis:
In order to improve the working stability of distributed marine green energy resources grid-connected system, we need the big data information mining and fusion processing of grid-connected system and the information integration and recognition of distributed marine green energy grid-connected system based on big data analysis method, and improve the output performance of energy grid-connected system. This paper proposed a big data analysis method of distributed marine green energy resources grid-connected system based on closed-loop information fusion and auto correlation characteristic information mining. This method realized the big data closed-loop operation and maintenance management of grid-connected system, and built the big data information collection model of marine green energy resources grid-connected system, and reconstructs the feature space of the collected big data, and constructed the characteristic equation of fuzzy data closed-loop operation and maintenance management in convex spaces, and used the adaptive feature fusion method to achieve the auto correlation characteristics mining of big data operation and maintenance information, and improved the ability of information scheduling and information mining of distributed marine green energy resources grid-connected system. Simulation results show that using this method for the big data analysis of distributed marine green energy resources grid-connected system and using the multidimensional analysis technology of big data can improve the ability of information scheduling and information mining of distributed marine green energy resources grid-connected system, realizing the information optimization scheduling of grid-connected system. The output performance of grid connected system has been improved.
Źródło:
Polish Maritime Research; 2017, S 3; 182-191
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integrated statistical and rule-mining techniques for dna methylation and gene expression data analysis
Autorzy:
Mallik, S.
Mukhopadhyay, A.
Maulik, U.
Powiązania:
https://bibliotekanauki.pl/articles/1396742.pdf
Data publikacji:
2013
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
statistical analysis
gene marker
methylation
genetic algorithm
DNA
Opis:
For determination of the relationships among significant gene markers, statistical analysis and association rule mining are considered as very useful protocols. The first protocol identifies the significant differentially expressed/methylated gene markers, whereas the second one produces the interesting relationships among them across different types of samples or conditions. In this article, statistical tests and association rule mining based approaches have been used on gene expression and DNA methylation datasets for the prediction of different classes of samples (viz., Uterine Leiomyoma/class-formersmoker and uterine myometrium/class-neversmoker). A novel rule-based classifier is proposed for this purpose. Depending on sixteen different rule-interestingness measures, we have utilized a Genetic Algorithm based rank aggregation technique on the association rules which are generated from the training set of data by Apriori association rule mining algorithm. After determining the ranks of the rules, we have conducted a majority voting technique on each test point to estimate its class-label through weighted-sum method. We have run this classifier on the combined dataset using 4-fold cross-validations, and thereafter a comparative performance analysis has been made with other popular rulebased classifiers. Finally, the status of some important gene markers has been identified through the frequency analysis in the evolved rules for the two class-labels individually to formulate the interesting associations among them.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2013, 3, 2; 101-115
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Estimation of Energy Intensity in Indian Iron and Steel Sector: A Panel Data Analysis
Autorzy:
Sharma, Anukriti
Roy, Hiranmoy
Dalei, Narendra Nath
Powiązania:
https://bibliotekanauki.pl/articles/1194459.pdf
Data publikacji:
2019-07-02
Wydawca:
Główny Urząd Statystyczny
Tematy:
energy intensity
Indian Iron and Steel sector
Energy Conservation Act
Perform-Achieve-Trade Mechanism
panel data
Opis:
India is the world's third largest consumer of primary energy, which includes fossil fuels like coal, oil, etc. The total primary energy consumption in India in 2015 was 107 Mtoe. India's total final energy consumption was estimated at 527 Mtoe of which the industrial sectors consumed about 30% (185 Mtoe) in 2013. The Iron and Steel sector is one of the most energy-intensive industries, consuming about 25% of the total industrial energy consumption. The energy consumption in Indian Iron and Steel sector is on the declining trend. It declined from 10 GCal/tcs in 1990 to 6.9 GCal/tcs in 2010-11. On average, iron & steel plants spend about 20-40% of the total manufacturing cost to meet their energy demands. In fact, energy cost is considered as a major factor in pricing of the steel. Energy Conservation Act, 2001 (ECA), and the formulation of Bureau of Energy Efficiency are important initiatives taken up by government in order to reduce energy consumption by various sectors in the Indian economy. Another important initiative is launching of first of its kind market-based mechanism, Perform, Achieve and Trade (PAT) mechanism in 2010 particularly targeting the energy consumption by the industrial sector of the economy. Phase-I for PAT ran from 2012-015 including eight most energy-intensive sectors under Indian Industrial sector, with Iron and Steel sector being a prominent sector. The objective of this paper is to empirically estimate the energy intensity of Indian Iron and Steel sector, also accounting for the impact of ECA and PAT Phase-I in dummy variable form. The results indicate that the decline in energy consumption in this sector until 2011 can also be attributed to Energy Conservation Act implemented in the year 2001 along with other factors. This is empirically confirmed by our results that ECA has a significant impact on reduction of energy intensity of the steel firms. PAT does not seem to have a considerable impact on energy intensity alone but in the years where both PAT and ECA are prevalent, i.e. from 2012 to 2015, there seems to be a significant impact of around 0.050 reduction in energy intensity, as accounted by different models in this paper. There is one more observation from the empirical results that profit margin intensity was found to be negatively related to energy intensity implying more profitable firms invest more in energy efficiency.
Źródło:
Statistics in Transition new series; 2019, 20, 2; 107-121
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Combined GPR data analysis technique for diagnostics of structures with thin near-surface layers
Autorzy:
Batrakov, D. O.
Batrakova, A. G.
Antyufeyeva, M. S.
Powiązania:
https://bibliotekanauki.pl/articles/329432.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
non-destructive control
ground penetrating radar
road pavement
metoda georadarowa
dokładność pomiaru
modelowanie numeryczne
georadar
nawierzchnia drogowa
Opis:
A method of processing GPR signals based on previously developed algorithms is proposed. The purpose of the study is to increase the accuracy of thickness measurements of near-surface thin layers of multilayer structures. The main idea of the method is to layer-by-layer restoration of physical and geometric characteristics of plane-layered media, for example, car coverings. As a result, with the help of numerical modelling, the operability and practical effectiveness of the proposed method was established. In addition, schemes for the practical implementation of this approach have been proposed for the processing of sounding data of pavement structures using a pulsed ground-penetrating radar "TRF-1". The use of additional procedures, for example, GPR calibration based on data obtained by core sampling, also improves the reliability and accuracy of assessing the current state of road pavements.
Źródło:
Diagnostyka; 2018, 19, 3; 11-20
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Use of statistical tools in hydrogeological research
Autorzy:
Mika, A.
Powiązania:
https://bibliotekanauki.pl/articles/184464.pdf
Data publikacji:
2016
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
hydrogeochemistry
data analysis
presentation
Opis:
Marcus Cicero said “Any man can make mistakes, but only an idiot persists in his error”. In this paper, some statistical tools are presented, which give scientists an opportunity to reduce or eliminate their mistakes and could help to assess results of high quality and their presentation. In hydrogeology and hydrogeochemistry every stage of research could cause serious errors. IBM SPSS software is a modular system designated to the data analysis or visual presentation of the results. SPSS gives a lot of possibilities to illustrate the results of chemical analysis using different plots, which can show a dependence of results from sampling points or time changes of ion concentrations. Another software, GWSDAT, is freeware, a supplement to Microsoft Excel, based on R language. This software provides trend assessment (Jones & Spence 2013) and visual presentation of results e.g. as a concentration map. The basic statistical method to evaluate the quality of the analysis is an error based on the ions balance. The values of this error can be shown on a histogram with references line (pictured the threshold value include in ruling standards). A chemical analysis result could also be illustrated on a box-and-whisker plot. Then we can show which concentrations diverge values or are higher than parametric value assigned by the regulations. The second method for quality control of the obtained analysis results is a control chart. This diagram bases on recording results of measurements of the analysed parameters e.g. concentrations of ions (Szczepańska & Kmiecik 2005). Control limit lines (Upper Control Limit and Lower Control Limit) are usually determined as three standard deviations from the mean value. Control limit-crossing is named as a single signal (S). The presence of a single signal on the control chart could be a basis to question the accuracy of analysis (Szczepańska & Kmiecik 2005). To get more reliable chemical analysis results, they should be reported with their uncertainty. The uncertainty of measurement is a parameter that characterizes the analytical method and specify the confidence interval of true value. It’s an interval in which “the real” value should be with specified probability. The total uncertainty is calculated on the basis of the uncertainty of all parameters and actions/analytical process stages, which have an impact on the result of analysis e.g. sampling, methodology, transport (Kmiecik 2011). The uncertainty enhances the reliability of the results and helps to make correct decisions e.g. during groundwater chemical status assessment. The statistical tools are helpful in the interpretation of the results, especially when they are related to the current legislation. Meanwhile, the plots and maps are useful in the presentation of the results to people, who are not related to hydrogeology (e.g. investors).
Źródło:
Geology, Geophysics and Environment; 2016, 42, 1; 99
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wielowymiarowa analiza danych w trybie czasu rzeczywistego
A real-time mode in multidimensional data analysis
Autorzy:
Jędrzejec, B.
Świder, K.
Powiązania:
https://bibliotekanauki.pl/articles/156320.pdf
Data publikacji:
2005
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
analiza danych
hurtownia danych
OLAP
tryb czasu rzeczywistego
data analysis
data warehouse
real-time mode
Opis:
W pracy rozważano systemy wielowymiarowej analizy danych wykorzystujące technologie hurtowni danych oraz przetwarzania analitycznego online (OLAP). Szczególną uwagę zwrócono na specyfikę zastosowań dla danych zmieniajacych się z dużą częstotliwością (real-time OLAP). Jako przykład aplikacji przedstawiono możliwości analizy OLAP w trybie czasu rzeczywistego oferowane przez MS SQL Server Analysis Services.
The paper concerns multi-dimensional data analysis based on data warehousing and On-Line Analytical Processing (OLAP) technologies. Especially we focused on applications with relative high frequency of data changes (real-time OLAP). As an illustrative example, the real-time OLAP funcionalities of MS SQL Server Analysis Services are presented.
Źródło:
Pomiary Automatyka Kontrola; 2005, R. 51, nr 1, 1; 69-71
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The XXIV Conference “Classification and Data Analysis – Theory and Applications” 14-16 September 2015, Gdańsk, Poland
Autorzy:
Jajuga, Krzysztof
Walesiak, Marek
Powiązania:
https://bibliotekanauki.pl/articles/465946.pdf
Data publikacji:
2016
Wydawca:
Główny Urząd Statystyczny
Źródło:
Statistics in Transition new series; 2016, 17, 2; 353-354
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Nowe metody analizy danych a teoria ekonomii
New methods in data analysis and economic theory
Autorzy:
Szupiluk, Ryszard
Powiązania:
https://bibliotekanauki.pl/articles/500429.pdf
Data publikacji:
2015
Wydawca:
Szkoła Główna Handlowa w Warszawie
Tematy:
nowoczesna analiza danych
metodologia ekonomii
ślepa separacja sygnałów
neuroekonomia
modern data analysis
economic methodology
blind signal separation
neuroeconomy
Opis:
W niniejszym opracowaniu przedstawiliśmy związki między współczesnymi trendami w badaniach ekonomicznych a nowymi metodami analizy danych. Jako reprezentanta nowego nurtu analizy danych wybraliśmy metody ślepej separacji. Jest to dynamicznie rozwijająca się gałąź analizy danych, która zapoczątkowana pewnymi badaniami neurofizjologicznymi, przekształciła się w szerokie spektrum podejść rozważanych w kategoriach metod separacji, reprezentacji oraz transformacji danych. Do zasadniczych technik w tym obszarze należą przede wszystkim: analiza składowych niezależnych, nieujemna faktoryzacja macierzy oraz algorytmy AMUSE oraz SOBI. W drugiej części opracowania rozważamy różnice pozyskiwania wiedzy w podejściu indukcyjno-eksploracyjnym, którego reprezentantem mogą być metody separacji, a podejściem aprioryczno-dedukcyjnym typowym dla ortodoksyjnych nurtów ekonomii. Wykazujemy, że wbrew często opozycyjnemu ich przedstawieniu są to zasadniczo podejścia komplementarne. W naszej interpretacji wybór podejścia jest związany z relacją ilości danych do wielkości wiedzy eksperckiej o zjawisku.
In this paper, we present relations between actual trends in economic research and novel methods in data analysis. As the representation of the new data analysis approach we choose the blind signal separation methods. Blind separation methods is a rapidly developed branch of data analysis. It started from some neurophysiological problem and grew to wide range analytical approaches which currently are considered in term of data separation, representation and transformation. The main techniques in this area are: independent component analysis, nonnegative matrix factorization or AMUSE and SOBI algorithms. In the second part of paper we consider knowledge discovery differences in inductive-exploration approach what is typical for blind signal separation methods and apriori-deductive approach what is typical for orthodox economy theories. Against often opposite treatments we suggest complementary interpretation. In our meaning the natural methodological choice is associated with relation data to expert knowledge about given phenomena. In the small data case we need to compensate it by some theorethical assumptions.
Źródło:
Prace i Materiały Instytutu Rozwoju Gospodarczego SGH; 2015, 95 :Podejście krótkookresowe i strategiczne w polityce gospodarczej; 245-270
0866-9503
Pojawia się w:
Prace i Materiały Instytutu Rozwoju Gospodarczego SGH
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tectonics of the northern Carpathians basement in the light of electromagnetic and gravity data analysis
Autorzy:
Stefaniuk, Michał
Cygal, Adam
Powiązania:
https://bibliotekanauki.pl/articles/24202100.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
Carpathians
tectonics
analysis
Opis:
The northern part of the Carpathians covers the north-eastern area of the Western and north-western of the Eastern Carpathians. The basement of the Carpathians in this zone is of a transitional nature and is relatively poorly explored, which results from its deep burial, in particular under the so-called Outer Carpathians. The interpretation of the tectonics and geodynamics of the basement depends to a large extent on the analysis of large scale geophysical data. In this area, regional seismic surveys were carried out mainly using the so-called deep refraction and numerous geophysical works using gravity, magnetic, geomagnetic and magnetotelluric methods. The subject of the presented work is a review of the regional image of electromagnetic and gravity studies carried out in this area, with particular emphasis on the territory of Poland, within which the authors carried out numerous research works. Electromagnetic research allows for the construction of a regional model of basement resistivity distributions and the determination of general outlines of its geometry as well as the formulation or testing of the concept of its geodynamical interpretations. An auxiliary role in this aspect is played by gravity data allowing to recognize the density distribution of the basement and constituting a set of additional data for integrated interpretation. The area outside the territory of Poland was presented on the basis of literature data, creating an extensive regional background for the results of research related with the participation of the authors in Poland. Within the Polish Carpathians, there is a structural reconstruction of the Carpathian overthrust and its basement, as well as a clear change in the nature of geophysical fields, e.g. the system of gravity field anomalies. Due to the deep burial of the Carpathian overthrust in this area and the complex structure of the orogen, which hinder effective drilling penetration, its fragmentary and uncertain recognition is based mainly on geophysical surface studies. The complex structure of the orogen reduces the effectiveness of the use of the seismic reflection method, the participation of which is limited in practice to the recognition of the basement in the marginal zone of the Carpathian overthrust. In the remaining area, alternative methods of surface geophysics are used, i.e. the magnetotelluric and gravity method. An important role in recognizing the basement of the Eastern part of the Polish Carpathians was played by magnetotelluric soundings that cover the above mentioned area with a relatively dense network of several generations of measurement points. The results of the interpretation of the MT soundings were used to construct a resistivity model, which was verified by new results of regional processing of seismic data and magnetotelluric and gravity modelling. The visualization of resistivity distributions was presented through maps interpreted at selected depth levels and in the resistivity cross-sections form. Resistivity distributions are the basis for interpreting tectonic zones marked as resistivity contrasts. Forward modelling and inversion of gravity data were used to verify resistivity structural models.
Źródło:
Geotourism / Geoturystyka; 2023, 1-2 (72-73); 67--67
1731-0830
Pojawia się w:
Geotourism / Geoturystyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is redistributive policy of EU welfare state effective in tackling income inequality? A panel data analysis
Autorzy:
Wildowicz-Szumarska, Anna
Powiązania:
https://bibliotekanauki.pl/articles/22444279.pdf
Data publikacji:
2022
Wydawca:
Instytut Badań Gospodarczych
Tematy:
inequality
redistribution
taxes
social transfers
Opis:
Research background: Income inequality has risen sharply since the 1990s, despite the increase in the average size of redistribution in countries representing different welfare state models. The problem of increasing income inequality is currently a challenge for the EU economies, not only with well-established liberal traditions, but also with conservative and social-democratic ones. Therefore, it is worth conducting research on the redistributive effects of fiscal policy. Purpose of the article: The article aims to show the redistributive effects of fiscal policy, paying particular attention to the most characteristic trends in redistribution, which are responsible for the growing income inequality. An overview of the fiscal instruments ? mainly personal income tax and benefit systems ? along with an empirical research on their potential impact on income inequality, allows for conclusions to be drawn about the effectiveness of redistributive policy in the EU countries. Methods: Both descriptive analysis and panel data analysis is implemented to examine the effectiveness of redistributive policy in tackling income inequality in the EU?28 countries in years 2005?2017. Findings & value added: Based on the panel analysis, it has been found that social transfers were much more effective than direct taxes in combating income inequality. In addition, the largest increase in income inequality ? as previously assumed ? was observed in the liberal welfare states, while the smallest in the social democratic welfare states. The empirical analysis extends the existing knowledge on main weaknesses of fiscal welfare state, indicating the required changes that may improve both its equity and efficiency.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2022, 17, 1; 81-101
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Validated Techniques and Scoring Models for PDD Test Data Analysis – Conclusions from the 2011 APA Report
Autorzy:
Gołaszewski, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/523562.pdf
Data publikacji:
2012
Wydawca:
Krakowska Akademia im. Andrzeja Frycza Modrzewskiego
Tematy:
APA Report
standard of polygraph examination
polygraph techniques
recommended techniques
Źródło:
European Polygraph; 2012, 6, 4(22); 227-240
1898-5238
2380-0550
Pojawia się w:
European Polygraph
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is Foreign Direct Investment a Real Driving Force of Economic Growth? A Panel Data Analysis
Autorzy:
Khalilov, Latif
Yi, Chae-Deug
Powiązania:
https://bibliotekanauki.pl/articles/2075471.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
economic growth
FDI
human capital
research and development
panel analysis
Opis:
The purpose of this empirical study is to find the relationship between economic growth and foreign direct investment (FDI) in the Commonwealth of Independent States (CIS) and Central and Eastern European Countries (CEECs) using endogenous technological change model. First, we combine the CIS and CEECs into one group to test our hypothesis, and then we test each group separately to account for heterogeneity and draw a conclusion whether FDI is indeed a driving force of the economy. Panel data have been used from 2003 to 2014 and different panel estimation methods have been applied. Additionally, we use the Generalized Method of Moments (GMM) panel estimator to control for endogeneity problem. The present study finds that FDI is an important factor explaining economic growth in the pooled group and CEECs, although it is not significant in the case of CIS.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2020, 3; 273-299
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Financial Data Analysis by means of Coupled Continuous-Time Random Walk in Rachev-Rűschendorf Model
Autorzy:
Jurlewicz, A.
Wyłomańska, A.
Żebrowski, P.
Powiązania:
https://bibliotekanauki.pl/articles/1812236.pdf
Data publikacji:
2008-09
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
89.65.Gh
05.40.Fb
Opis:
We adapt the continuous-time random walk formalism to describe asset price evolution. We expand the idea proposed by Rachev and Rűschendorf who analyzed the binomial pricing model in the discrete time with randomization of the number of price changes. As a result, in the framework of the proposed model we obtain a mixture of the Gaussian and a generalized arcsine laws as the limiting distribution of log-returns. Moreover, we derive an European-call-option price that is an extension of the Black-Scholes formula. We apply the obtained theoretical results to model actual financial data and try to show that the continuous-time random walk offers alternative tools to deal with several complex issues of financial markets.
Źródło:
Acta Physica Polonica A; 2008, 114, 3; 629-635
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Factors Affecting the Development of Voluntary Pension Schemes in CEE Countries: A Panel Data Analysis
Autorzy:
Marcinkiewicz, Edyta
Powiązania:
https://bibliotekanauki.pl/articles/1357416.pdf
Data publikacji:
2018-12-18
Wydawca:
Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
Tematy:
CEE countries
pension system
third pillar
voluntary pensions
panel regression
cross-country analyses
Opis:
The study provides some quantitative information on voluntary pension plans in 10 CEE countries obtained from various local sources. The comparative analysis shows that there is a considerable variation in this group in terms of participation and contributions to the voluntary pension plans. In addition, this study empirically examines several factors that can possibly affect the development of voluntary pensions: income per capita and poverty rate, income inequality, replacement rate from the pension system, education attainment, interest rate and demographic burden. It uses a panel regression framework for the period of 2006–2014. The results reveal that, in the case of participation in voluntary pension plans, only income level per capita is associated with a greater number of pension plan members. As far as contributions are concerned, education seems to be the most important determinant of additional pension savings. Other factors do not seem to explain well both of the studied variables reflecting the development of voluntary pension schemes. However, as individual fixed effects are proven to be significant in the estimated models, one could conclude that country-specific characteristics play a significant role in explaining the development of voluntary pension schemes. They can be referred to the design and parametric settings of the non-mandatory pension system.
Źródło:
Central European Economic Journal; 2017, 3, 50; 26 - 40
2543-6821
Pojawia się w:
Central European Economic Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A framework for corrosion assessment in metallic structures, from data analysis to risk based inspection
Autorzy:
Cui, Xiaofei
Liang, Xiaoxia
Bharadwaj, Ujjwal
Powiązania:
https://bibliotekanauki.pl/articles/1841787.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
corrosion estimation
steel bridge
metallic structures
risk based inspection
software
Opis:
Metallic corrosion is a big challenge affecting many sectors in a nation’s economy. Necessary corrosion prevention actions have to be taken in order to maintain the integrity of engineering assets susceptible to corrosion. This paper proposes a holistic framework to support the management of corrosion in metallic structures. It is a fully automation corrosion assessment process, with risk updated by Bayesian theory. Through analyzing the thickness data measured by non-destructive testing (NDT) techniques, the influence of corrosion on the component can be estimated using statistical methods, which will enable users to make decisions on maintenance based on quantitative information. A case study using corrosion data from a steel bridge is included to demonstrate the proposed framework. It improved the conventional corrosion analysis method by the proposed statistical approach using representative thickness data, which aims to take full use of the remaining life. This model can be adapted to a wide range of metallic structure suffering from corrosion damage.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 1; 11-20
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Data Analysis and Presentation for Population Dynamics of Cotugnia sp. Parasitizing Domestic Fowl
Autorzy:
Jadhav, A. N.
Bhure, D. B.
Nanware, S. S.
Powiązania:
https://bibliotekanauki.pl/articles/1186744.pdf
Data publikacji:
2016
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Computer aided Techniques
Cotugnia
Domestic Fowl
Gallus gallus domesticus
Nanded
Population Dynamics
Opis:
Goal of this paper is to present the techniques of Data Analysis and Presentation for population dynamics of Cestode parasite Cotugnia sp. parasitizing domestic fowl Gallus gallus domesticus from different localities of Nanded District (M.S.) India during October, 2014 to September, 2015. High incidence, density and index of infection were reported in Summer followed by Winter whereas infection was low in monsoon.
Źródło:
World Scientific News; 2016, 32; 24-35
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applying hand gesture recognition with time-of-flight camera for 3D medical data analysis
Autorzy:
Malawski, F.
Powiązania:
https://bibliotekanauki.pl/articles/115723.pdf
Data publikacji:
2014
Wydawca:
Fundacja na Rzecz Młodych Naukowców
Tematy:
human-computer interaction
hand gesture recognition
time-of-flight camera
interakcja człowiek-komputer
rozpoznawanie gestów dłoni
czas przelotu kamery
Opis:
This paper describes a human-computer interface based on hand gesture recognition, intended for analysis of 3D medical data. The gestures are designed to minimize the required muscle tension when using the system. Gesture recognition is based on a 3D sensor. Depth maps are acquired by a time-of-flight camera, designed specifically for hand gestures recognition. The depth images are denoised and segmented to right and left hand. The contours of the hands are found and a modified Shape Context descriptor is utilized for each hand, providing a set of features, which are employed to train and test various classifiers. Naive Bayes, Random Forest and Support Vector Machine (SVM) classifiers are utilized, with search of optimal parameters using cross-validation. The best accuracy (95%) is achieved with the Support Vector Machine classifier. The gestures are mapped to various controls of a 3D medical visualization module. Two visualization methods are employed - isosurface and cut-planes. The left hand is assigned to switching between different control modes and the right hand gestures are corresponding to controlling various properties in each mode. The system is convenient to use and runs in real-time on a typical PC machine.
Źródło:
Challenges of Modern Technology; 2014, 5, 4; 12-16
2082-2863
2353-4419
Pojawia się w:
Challenges of Modern Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Exploratory data analysis of environmental governance at local level in the south-west region of Poland
Autorzy:
Wiatkowska, Barbara
Powiązania:
https://bibliotekanauki.pl/articles/434785.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
environmental order
sustainable development
exploratory data analysis
spatial analysis
GIS
Opis:
Conducting integrated measures within the framework of sustainable development requires an objective identification of the needs for their implementation based on the results of multifaceted analyses of many complex, interrelated factors reflecting the state of the natural environment and the economic and demographic situation. The increasing functionality of Geographic Information Systems (GIS), has made GIS databases a tool supporting the implementation of sustainable development activities. The aim of the study was to recognise the spatial variability of the level of environmental governance in the south-west region of Poland. Methods of research on multidimensional data mining techniques and geo-spatial analyses were applied, resulting in a theoretical model describing the regularities in the relationships between the analysed indicators of environmental governance. The level of environmental governance was most strongly determined by indicators concerning climate change and biodiversity.
Źródło:
Biblioteka Regionalisty; 2018, 18; 62-78
2081-4461
Pojawia się w:
Biblioteka Regionalisty
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza danych eksploatacyjnych w badaniach niezawodności obiektów technicznych
Field data analysis in reliability testing of technical objects
Autorzy:
Młyńczak, M.
Powiązania:
https://bibliotekanauki.pl/articles/348343.pdf
Data publikacji:
2011
Wydawca:
Akademia Wojsk Lądowych imienia generała Tadeusza Kościuszki
Tematy:
badania eksploatacyjne
niezawodność
dane cenzurowane
field test
reliability
censored data
Opis:
W analizie niezawodności obiektów technicznych eksploatowanych w warunkach rzeczywistych kluczowym elementem są dane uzyskane z obserwacji wybranych zmiennych losowych. Natura badań eksploatacyjnych powoduje zakłócenia w gromadzeniu, archiwizacji danych, obniSając tym samym ich wiarygodność. Ma to swoje dalsze konsekwencje w przetwarzaniu danych i niepewności w odniesieniu do wyników. Celem pracy jest przedstawienie modeli niepewnych danych i dalszego postępowania w zakresie ich przetwarzania.
In a reliability assessment of technical objects operated in real conditions the key element is data concerning some variables. The nature of a field test introduces disturbances in data collecting, storing and processing while decreasing their credibility. It influences a further data analysis and processing. The paper describes models of censored data and methods of their processing.
Źródło:
Zeszyty Naukowe / Wyższa Szkoła Oficerska Wojsk Lądowych im. gen. T. Kościuszki; 2011, 1; 177-184
1731-8157
Pojawia się w:
Zeszyty Naukowe / Wyższa Szkoła Oficerska Wojsk Lądowych im. gen. T. Kościuszki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie pakietu NVivo w analizie materiałów nieustrukturyzowanych
Computer Aided Qualitative Research Using NVivo in unstructured data analysis
Autorzy:
Brosz, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/1373761.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
CAQDAS
loss of information
data reduction
coding procedures
NVivo
grounded theory
Opis:
This paper concerns using NVivo software in qualitative data analysis. Main subject refers to the data reduction accompanying the process of qualitative data analysis. Using software does not necessarily cause the uncontrolled modifications of data, thereby, the loss of relevant aspects of collected data. The latest version of CAQDAS (i.e., NVivo 8, 9) enables the possibility of coding on barely altered so¬urces. The paper presents examples of coding procedures on texts, pictures, audio-visual recordings. Additionally, the paper includes description of some techniques aiding the coding process.
Źródło:
Przegląd Socjologii Jakościowej; 2012, 8, 1; 98-125
1733-8069
Pojawia się w:
Przegląd Socjologii Jakościowej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cluster analysis with clusterSim computer program and R environment
Zagadnienia analizy skupień z wykorzystaniem programu komputerowego clusterSim i środowiska R
Autorzy:
Walesiak, Marek
Powiązania:
https://bibliotekanauki.pl/articles/907036.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
cluster analysis
R
clusterSim
data analysis
Opis:
The article presents auxiliary functions of clusterSim package (see Walesiak & Dudek (2006)) and selected functions of packages stats, cluster, and ade4, which are applied to solving clustering problems. In addition, the examples of the procedures for solving different clustering problems are presented. These procedures, which are not available in statistical packages (SPSS, Statistica, SAS), can help solving a broad range of classification problems.
W artykule scharakteryzowano funkcje pomocnicze pakietu clusterSim oraz wybrane funkcje pakietów stats, cluster i ade4 służące zagadnieniu analizy skupień. Ponadto zaprezentowano przykładowe procedury, wykorzystujące analizowane funkcje, ułatwiające potencjalnemu użytkownikowi realizację wielu zagadnień klasyfikacyjnych niedostępnych w podstawowych pakietach statystycznych (np. SPSS, Statistica, SAS).
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2008, 216
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On robust inference for the Cox model - the coxrobust package
Odporny test istotności dla modelu Coxa - teoria i zastosowania
Autorzy:
Bednarski, Tadeusz
Borowicz, Filip
Powiązania:
https://bibliotekanauki.pl/articles/907044.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
robust estimation
survival data analysis
Opis:
A methodology supporting the COXROBUST package, designed for the robust inference in the Cox regression model, is presented. Basic functions of the package and its data analytic capabilities are described.
Pierwsza części wykładu będzie prezentacją programu statystycznego służącego odpornej estymacji w modelu Сох’a - aplikacja opracowana na podstawie metody T. Bednarskiego (1993). Program ten została dołączony do zestawu pakietów statystycznych języka R, budowanego w ramach otwartego projektu. Teoretyczna część wykładu poświęcona będzie zagadnieniu odpornej weryfikacji istotności modelu Cox’a. Przedstawione będą wyniki analityczne związane z granicznym rozkładem stosownie zmodyfikowanej statystyki Walda - bazującej na odpornej estymacji parametrów regresji w modelu Cox’a. Ponadto zaprezentowane będą wyniki Monte Carlo umożliwiające ocenę stopnia bliskości rozkładu asymptotycznego z wynikami empirycznymi dla skończonych prób. Zaproponowana statystyka testowa została dołączona do wspomnianego wcześniej pakietu statystycznego.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2008, 216
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Metody klasyfikacyjne danych w analizach wirtualnych łańcuchów dostaw
Classification Methods in Data Analysis of Virtual Supply Chains
Autorzy:
Trzpiot, Grażyna
Ganczarek, Alicja
Powiązania:
https://bibliotekanauki.pl/articles/906763.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
wirtualny łańcuch dostaw
metody aglomeracji
miary odległości
Opis:
In this paper the classification of data obtained in the survey of Silesian businesses is presented. The survey was aimed at production, commerce and service enterprises, The main objective was to classify the factors determining the virtual supply chain consisting of IT and communication systems logistic competences and the transport-spedition-logistic branch. Due to the qualitative and quantitative character of variables, methods based on varying similarity measures were used.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2012, 271
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Panel estimation for the relationship between education expenditure and economic growth for oecd countries
Autorzy:
Karaçor, Zeynep
Güvenek, Burcu
Ekinci, Esra
Konya, Sevilay
Powiązania:
https://bibliotekanauki.pl/articles/499408.pdf
Data publikacji:
2018
Wydawca:
Wyższa Szkoła Biznesu w Dąbrowie Górniczej
Tematy:
Educational expenditures
Growth
Panel data analysis
Opis:
Education, which is one of the important dynamics of human capital along with health, plays an important role in this context. Increasing the level of success comes through higher standards of education, recruitment of qualified workers, better employment opportunities and increased earnings which are significant contributors to growth and prosperity in OECD countries. In this study, the relationship between educational expenditures and economic growth for 19 selected OECD countries is analysed using the panel data method
Źródło:
Forum Scientiae Oeconomia; 2018, Volume 6 (2018) Issue No. 2: Economic Growth, Innovations and Lobbying; 7-20
2300-5947
Pojawia się w:
Forum Scientiae Oeconomia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Critical Thinking in Initial Teacher Education: Secondary Data Analysis from Ahelo GS Feasibility Study in Slovakia
Autorzy:
Šukolová, Denisa
Nedelová, Magdaléna
Powiązania:
https://bibliotekanauki.pl/articles/1997815.pdf
Data publikacji:
2017-09-30
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
critical thinking
initial teacher education
assessment
development
Opis:
The study presents a secondary analysis of the “Assessment of Higher Education Learning Outcomes, Generic Skills Strand”, the international study of critical thinking skills (OECD, 2012). National secondary analyses include a comparison of student teachers (n = 110) and students of other study programmes (n = 413) in critical thinking and investigates a potential relation of contextual characteristics with their critical thinking performance. Performance Task and Multiple Choice Questions were used to measure critical thinking skills and a Contextual Questionnaire was used to collect socio-demographic data, and subjectively evaluated characteristics related to test-taking motivation and coursework. The main results showed that student teachers scored lower in critical thinking performance than students of other study programmes.
Źródło:
The New Educational Review; 2017, 49; 19-29
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ocena użyteczności współczesnych narzędzi IT w analizie danych Big Data
The assessment of usefulness modern IT tools of data analysis Big Data
Autorzy:
Wasiluk, Rafał
Muryjas, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/98504.pdf
Data publikacji:
2017
Wydawca:
Politechnika Lubelska. Instytut Informatyki
Tematy:
analiza danych Big Data
Tableau
Qlik
Microsoft Power BI
data analysis
Big Data
Tableau Desktop
Qlik Sense
Opis:
W niniejszej publikacji poruszono temat współczesnych narzędzi IT w analizie danych Big Data. Przeprowadzone badania dotyczyły liderów rankingu Gartnera z 2017 roku, czyli Tableau Desktop, Qlik Sense i Microsoft Power BI. Ocena użyteczności tych narzędzi, została przeprowadzona zgodnie z wybranymi kryteriami, m. in. ceną i rodzajem licencji, rodzajami połączeń z bazą czy obsługiwanymi platformami operacyjnymi.
This publication discusses the topic of contemporary IT tools in Big Data data analysis. The research involved the leaders from Gartner 2017, Tableau Desktop, Qlik Sense and Microsoft Power BI programs. The utility rating of these tools has been evaluated according to the selected criteria, among others. The price and type of licenses, types of database connections, and supported operating platforms
Źródło:
Journal of Computer Sciences Institute; 2017, 5; 179-186
2544-0764
Pojawia się w:
Journal of Computer Sciences Institute
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Briefly on the GUHA method of data mining
Autorzy:
Hajek, P.
Powiązania:
https://bibliotekanauki.pl/articles/307807.pdf
Data publikacji:
2003
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
GUHA method
data mining
exploratory data analysis
Opis:
The paper gives brief, user-oriented, information on the GUHA method.
Źródło:
Journal of Telecommunications and Information Technology; 2003, 3; 112-114
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza danych zastanych generowanych przez system symulacyjny JTLS
Analysis of data generated by the JTLS simulation system
Autorzy:
Nowak, W.
Kaniewski, R.
Powiązania:
https://bibliotekanauki.pl/articles/119636.pdf
Data publikacji:
2016
Wydawca:
Akademia Sztuki Wojennej
Tematy:
JTLS
analiza danych
Data Warehouse
data analysis
Opis:
W artykule przedstawione zostały zagadnienia związane ze sposobem gromadzenia danych przez system symulacyjny JTLS. Pokazano, w jaki sposób system symulacyjny współpracuje z bazą danych Oracle. Omówiono możliwości wykorzystania danych symulacyjnych do wykonywania analiz. Przedstawiono dokonania Zespołu Analiz Systemowych i Prognozowania CSiKGW w zakresie wykonywania aplikacji i analiz na potrzeby zespołów kierownictwa ćwiczenia w ćwiczeniach wspomaganych komputerowo.
The article presents topics related to means of collecting data by JTLS simulation system. It shows how simulation system works with the Oracle database. The possibilities of using post-simulation data to perform analysis are discussed, and the achievements of the Simulation Center Analysis Team in the performance of the application and analysis of the needs of management exercises teams in CAX are presented.
Źródło:
Zeszyty Naukowe AON; 2016, 3(104); 141-158
0867-2245
Pojawia się w:
Zeszyty Naukowe AON
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effect of COVID-19 pandemic on gender associated with risk factors: a retrospective data analysis, Thailand
Autorzy:
Kunno, J.
Supawattanabodee, B.
Sumanasrethakul, C.
Wiriyasirivaj, B.
Kuratong, S.
Kaewchandee, C.
Yubonpunt, P.
Powiązania:
https://bibliotekanauki.pl/articles/28765562.pdf
Data publikacji:
2022
Wydawca:
Narodowy Instytut Zdrowia Publicznego. Państwowy Zakład Higieny
Opis:
Background. The COVID-19 pandemic is having a serious impact around the world. Many countries have experienced a two or three wave pattern in reported cases. The virus’s spread in Thailand was a cluster event distributed over multiple locations, multi-spender, and multiple waves of outbreaks. Objective. This study aims to study gender associated with age, risk factors, and nationality during coronavirus pandemic in Thailand. Material and methods. A retrospective cohort study was conducted from January 2020 to May 2021 (17 months) to determine the number of confirmed cases and identify gender associated with, age, various risk factors and nationality were analyzed by chi square test and binary logistic regression analyses. Results. The results show that the number of cases increased by over 100,000 over the course of three waves of outbreaks. The logistic regression analysis revealed that genders were significantly related with age, various risk factors, and nationality across different waves (p < 0.01). Across the primary risk factors were community risk, community cluster and close contact with a previously confirmed patient on confirmed cases during COVID-19 pandemic Conclusion. Significant differences between genders were significantly associated with age, various risk factors, and nationality may be due to weak social distancing policies and the lack of public health interventions. A COVID-19 vaccination plan is needed for people who are at risk of suffering severe symptoms as well as the general population in outbreak areas to increase immunity.
Źródło:
Roczniki Państwowego Zakładu Higieny; 2022, 73, 3; 333-340
0035-7715
Pojawia się w:
Roczniki Państwowego Zakładu Higieny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Use of big data analysis to identify possible sources of supply chain disruption through the dotmlpfi method
Autorzy:
Nagy, Judit
Foltin, Pavel
Powiązania:
https://bibliotekanauki.pl/articles/2203757.pdf
Data publikacji:
2022
Wydawca:
Wyższa Szkoła Logistyki
Tematy:
supply chain disruption
supply chain resilience
Big Data analysis
DOTMLPFI method
zakłócenia łańcucha dostaw
odporność łańcucha dostaw
analiza Big Data
metoda DOTMLPFI
Opis:
Backgrounds: The presented research deals with the investigation of how big data analytics can help predict possible disruptive events in supply chains. The supply chain can be considered a complex system with a wide spectrum of possible sources of internal and external disruptions. Since the individual entities of the supply chains operate in a particular environment and interact with this environment, there is a certain level of mutual interdependency. This set of interconnected interactions within the supply chain will be the unit of analysis. Methods: There are many internal and external sources of supply chain disruption, which opens up the potential application of Big Data Analysis (BDA) as an early warning tool. To analyse the possible application of the BDA to identify sources of supply chain disruptions, we conduct a bibliometric analysis to define an appropriate structure for supply chain risk classification as well as appropriate keywords that make data collection quicker and easier. The DOTMLPFI methodology was used to systematically identify the most relevant risks threatening the supply chains. Results: The proposed research approach creates a possible framework to support the operational sustainability and resilience of the supply chain as a system, toward internal and external disruptions. The research results also point out the most explored attributes of supply chain disruption. The conducted bibliometric research and content analysis support the theoretical framework of using BDA as a possible early warning tool, especially for the identification of possible sources of supply chain disruption. The approach of grouping Big Data sources into categories based on DOTMLPFI groups allows to identify the appropriate keywords for their later BDA analysis. The analytical framework provides a starting point for individual supply chain entities to understand risks and systematically collect the appropriate data in the required structure about them. Conclusion: The complexity of supply chains, together with the increasing possibility of digital applications, requires a new analytical framework for evaluating the overall supply chain, with the possible application of new data sources and analytical approaches regarding the risks threatening the chain. DOTMLPFI methodology allows covering all the relevant categories of supply chain risks, and by proposing relevant keywords and data sources it can help companies to find the appropriate open-source, up-to-date information and be prepared for disruptive events.
Źródło:
LogForum; 2022, 18, 3; 309--319
1734-459X
Pojawia się w:
LogForum
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Concept of expert system interpreting correctness of measurement and method of the EEG signal analysis for needs of the brain-computer interface
Autorzy:
Paszkiel, S.
Powiązania:
https://bibliotekanauki.pl/articles/378126.pdf
Data publikacji:
2016
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
EEG signal
expert system
data analysis
Opis:
The concept of construction of the expert system interpreting correctness of measurement and the method of the EEG signal analysis for needs of the brain-computer interface (BCI) are described in the article. The general orientations related with the methodology of creating the expert systems based on the knowledge base (KB) are characterised. Also, the brain-computer interface technology was described, which has been recently gaining more and more popularity within the scope of its application in control processes.
Źródło:
Poznan University of Technology Academic Journals. Electrical Engineering; 2016, 88; 209-216
1897-0737
Pojawia się w:
Poznan University of Technology Academic Journals. Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stability and economic freedom in the countries of Central and Eastern Europe: Quantitative analysis
Autorzy:
Karateev, Artem
Powiązania:
https://bibliotekanauki.pl/articles/1041595.pdf
Data publikacji:
2019-12-30
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
stability
political stability
economic freedom
data analysis
Opis:
Exploring the stability of states and political systems is of interest to scientists and politicians all around the world. One of the most important questions in this field is the question of the relationship between stability and freedom. This paper considers the relationship between economic freedom and stability with regards to the example of countries of Central and Eastern Europe. The study uses quantitative analysis and the operationalisation of economic freedom through the Index of Economic Freedom (IEF); furthermore, stability is studied through the Fragile States Index (FSI), and the Political Stability and Absence of Violence/Terrorism Index (PSI). The analysis reveals a strong correlation between economic freedom and stability. According to linear regression models obtained by the author, economic freedom has a strong impact on stability. Models show that most of the components of IEF increase stability, whilst some components decrease it. This means that the same factors affect economic freedom and stability in different ways. In particular, taxes have a very positive effect on stability. At the same it is obvious that taxes reduce economic freedom. This fact allows us to resolve the existing contradictions among politicians and scientists, who differently assess the impact of economic freedom on stability. It may be stated that whilst economic freedom has in general a strong positive effect on stability, it can also have a negative effect.
Źródło:
Eastern Review; 2019, 8; 149-159
1427-9657
2451-2567
Pojawia się w:
Eastern Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effect of soil management on its radioisotopic composition
Autorzy:
Dołhańczuk-Śródka, A.
Ziembik, Z.
Kusza, G.
Powiązania:
https://bibliotekanauki.pl/articles/184362.pdf
Data publikacji:
2015
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
radioisotopes
soil use
Compositional Data Analysis
Opis:
Radioactive isotopes in the environment, both natural and artificial, can be good indicators in the analysis of a number of physical and chemical processes and the transport of pollutants in the ecosystem. The main aim of this study was to evaluate the impact of soil use on the radioisotopic composition in its surface layers. The radioisotopic compositions of surface soil samples, collected in the area of a cement plant, abandoned for over 20 years, as well as in the area of the nearby allotments were examined and compared. Calculations were performed using methods designed to study compositional variables. The results confirmed a significant impact of the way soil is used on the radioisotopic composition of the surface soil layers. However, some characteristics of the composition were common to both locations. It was discovered, that a significant proportion of the lead isotope Pb-210 was derived from atmospheric deposition. Other radioisotopes remained relatively close to equilibrium in their decay chains.
Źródło:
Geology, Geophysics and Environment; 2015, 41, 1; 33-41
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
EFFECTS OF SPORT IN RESOCIALIZATION OF MINORS
Autorzy:
Kostrzewska, Dagmara Bogumiła
Powiązania:
https://bibliotekanauki.pl/articles/1036490.pdf
Data publikacji:
2018-08-10
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
sports
resocialization
socialization
minors
data analysis
observation
Opis:
The author of the article presents the influence of physical activities on socially maladjusted youth, on the basis of desk research analysis, as well as using personal observations conducted during serving as a probation officer for a period of two years. The observations were conducted on a group of 11 male and female minors advised physical activities, as one of the means of influence in the process of resocialization. The article focuses on two social environments, where the resocialization process may take place – the open environment and the institutional environment. The author presents the process of resocialization, its goals, methods used in it, and the reasons why this process is so significant. The aim of the article is to show the changes occurring in the behaviour of young and socially maladjusted people as a result of participating in sports activities. The author’s final conclusions indicate the positive effects of physical activity as a means of influence.
Źródło:
Society Register; 2018, 2, 1; 171-183
2544-5502
Pojawia się w:
Society Register
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multivariate distributions in financial data analysis - applications in portfolio approach
Rozkłady wielowymiarowe w analizie danych finansowych - próba systematyzacji
Autorzy:
Jajuga, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/906833.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
multivariate distributions
copula functions
portfolio theory
Opis:
The paper gives an attempt to systematize different problems in finance which can be solved by multivariate analysis. First of all, some theoretical remarks on multivariate distributions are given. Then, taxonomy of multivariate financial problems is provided.
W artykule przedstawiona jest próba systematyzacji różnych problemów finansowych, do rozwiązania których stosowane są metody analizy wielowymiarowej. Na wstępie podane są uwagi na temat rozkładów wielowymiarowych. Następnie proponowana jest taksonomia wielowymiarowych problemów finansowych.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2008, 216
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Unfolding analysis adaptation for symbolic data – hybrid and symbolic-numeric approach
Autorzy:
Zaborski, Artur
Pełka, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/425012.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
symbolic data analysis
unfolding analysis
preference data
Opis:
The aim of this paper is to propose and present adaptations of unfolding analysis for symbolic data. In the article, the basic terms of unfolding analysis and symbolic data are presented. The paper presents two approaches – the internal hybrid approach and the external symbolic-numeric approach. In the empirical part, the external symbolic-numeric unfolding for LCD brands is presented. Symbolic multidimensional scaling R source codes were written by authors.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 3(41); 32-39
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
VERYFICATION OF LOCATION PROBLEM IN ECONOMIC RESEARCH
Autorzy:
Kozioł - Kaczorek, Dorota
Parlińska, Maria
Powiązania:
https://bibliotekanauki.pl/articles/655862.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
location problem
data analysis
real-estate market
Opis:
In economic research very often the location problem in the single sample or estimation  of the difference in two samples location is commonly tested by experimental economists. Usually the used tests are Wilcoxon test for single sample location or Wilcoxon – Mann – Whitney for two samples location problem. Unfortunately those tests have some disadvantages such as robustness against assumptions or week efficiency. In the paper, some less known procedures, which allow avoid those problems, will be presented. Considered methods will be illustrated on the example of the data  analysis from real-estate market.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2014, 3, 302
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Economic growth and its determinant: a crosscountry evidence
Autorzy:
Adepoju, Adedayo A.
Ogundunmade, Tayo P.
Powiązania:
https://bibliotekanauki.pl/articles/1194461.pdf
Data publikacji:
2019-07-02
Wydawca:
Główny Urząd Statystyczny
Tematy:
economic growth
panel data analysis
growth determinants
Opis:
Empirical evidence from a panel of 126 countries, over the time period of 2010 to 2014, indicates that economic growth is dependent on various factors. This paper finds that government expenditure control, reduced inflation and increased trade openness are the factors that boost the economic growth of a country. Significant evidence is seen for government consumption, fiscal policy and trade openness. No significant relationship has been observed between exchange rate and economic growth, whereas unemployment influences output for African countries. The cross regional analysis of Asian, European, African, Caribbean, and American countries gives specific determinants for these regions. Economic growth is also analysed in developing, developed, least developed, Muslim and petroleum exporting and emerging countries. The results of this study validate the dependence of economic growth on various factors. Fiscal balance has shown a consistent positive relationship with economic growth throughout the analyses. Fiscal balance and unemployment rate played their role in the growth of African countries. Inflation rates and increased openness were significant for some regions. Exchange rate did not return significant coefficients for any of the sub-regions. Government consumption, trade openness, policy interest rate and industrial production rate showed significant effect for different regions of the world.
Źródło:
Statistics in Transition new series; 2019, 20, 2; 69-84
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza danych systemu ERP - wykorzystanie koncepcji Business Intelligence
Data analysis in ERP system - use of Business Intelligence concept
Autorzy:
Wyskwarski, M.
Powiązania:
https://bibliotekanauki.pl/articles/324014.pdf
Data publikacji:
2012
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
system wspomagania decyzji
Business Intelligence
ERP
system informatyczny
decision support system
information system
Opis:
Artykuł przedstawia system wspierający podejmowanie decyzji utworzony zgodnie z koncepcją Business Intelligence (BI). Składowe tego systemu stanowią system klasy ERP - proALPHA®, oraz program do analizy danych o nazwie Analazer. Punkt drugi artykułu przedstawia podstawowe informacje o systemach Bussines Inteligence. W punkcie trzecim przedstawiono sposób budowy i działania systemu wspierającego podejmowanie decyzji.
This article presents decision support system based on business intelligence concept (BI)> is is based on ERP system pro ALPHA and data analysis program Analazer.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2012, 61; 311-318
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Distribution of snow accumulation on some glaciers of Spitsbergen
Autorzy:
Grabiec, Mariusz
Leszkiewicz, Jan
Głowacki, Piotr
Jania, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/2051885.pdf
Data publikacji:
2006
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Arctic
Spitsbergen
snow accumulation
statistical data analysis
Źródło:
Polish Polar Research; 2006, 27, 4; 309-326
0138-0338
2081-8262
Pojawia się w:
Polish Polar Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ruch turystyczny pomiędzy krajami unii europejskiej – analiza danych panelowych
Tourist traffic between European Union countries – panel data analysis
Autorzy:
Majchrzak-Jaszczyk, Anetta
Powiązania:
https://bibliotekanauki.pl/articles/464765.pdf
Data publikacji:
2014
Wydawca:
Akademia Wychowania Fizycznego we Wrocławiu
Tematy:
popyt
dochód
czynnik cenowy
korelacja
model
ruch turystyczny
demand
income
price factor
correlation
tourist traffic
Opis:
The author examined the tourist traffic between European Union countries from 2003 till 2011, and the economic factors impacting it. The correlations between the number of tourist trips and income, price factors were calculated on the basis of Eurostat data, with the use of statistic methods and panel data analysis. The author estimated the fixed effect one way error models for each of the 28 EU countries and for the whole community. The relation of price level indices in the visited country to the same indicator in the country of the tourist’s place of living turned out a crucial and statistically significant factor. The number of trips falls with increase of this relation. The consumers travel not so willingly to countries where costs of living rise quicker than in their homeland. The effect of the PLI factor is much stronger for partner countries which are not neighbour countries. Neither the GDP per capita, nor the consumer price index turned out significant for changes in the number of tourist trips between EU countries.
Źródło:
Rozprawy Naukowe Akademii Wychowania Fizycznego we Wrocławiu; 2014, 45; 204-214
0239-4375
Pojawia się w:
Rozprawy Naukowe Akademii Wychowania Fizycznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of data analysis systems for business process automation
Projektowanie systemów analizy danych do automatyzacji procesów biznesowych
Autorzy:
Rymarczyk, T.
Cieplak, T.
Kłosowski, G.
Rymarczyk, P.
Powiązania:
https://bibliotekanauki.pl/articles/407978.pdf
Data publikacji:
2018
Wydawca:
Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
Tematy:
Smart system
Multi-source Data
Agent Based Modelling
inteligentny system
dane wieloźródłowe
modelowanie agentowe
Opis:
The paper deals with the design of data analysis systems for business process automation. The main goal of the project is to develop an innovative system for analyzing multisource data, business data mining processes, and as a result the creation and sharing of new improved procedures and solutions.
Artykuł dotyczy projektowania systemów analizy danych do automatyzacji procesów biznesowych. Głównym celem projektu jest opracowanie innowacyjnego systemu do analizy danych wieloźródłowych, procesów eksploracji danych biznesowych, a co za tym idzie tworzenie i udostępnianie nowych ulepszonych procedur i rozwiązań.
Źródło:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2018, 8, 3; 43-46
2083-0157
2391-6761
Pojawia się w:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Factors influencing the choice of the invoicing currency in international trade: Panel data analysis for 55 countries
Autorzy:
Twarowska-Mól, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/22443104.pdf
Data publikacji:
2023
Wydawca:
Instytut Badań Gospodarczych
Tematy:
invoicing currency of trade
dominant currency paradigm
dollar
export
inflation
exchange rate
Opis:
Research background: Most transactions in world trade are invoiced in several international currencies. The changes in the distribution of the great economic powers and the strengthening of the position of developing countries make it necessary to consider the factors determining the choice of trade invoicing currency and to assess the prospects of the dollar as an invoicing currency and the possibility of strengthening the position of developing countries' currencies in this function. Purpose of the article: The aim of the paper is to assess the factors influencing the choice of invoicing currency for international trade in 2000?2019. Methods: The analysis of factors influencing the choice of international trade invoicing currency is based on panel data modelling. The study is conducted for a group of 55 countries. It is assumed that the following variables may influence the currency position in the trade invoicing function: the share of the issuer's country in the bilateral trade, inflation and exchange rate. Findings & value added: The analysis showed that despite the decreasing share of the United States in world trade, the U.S. dollar remains the most important export invoicing currency. The main factors influencing the dollar's dominance are the U.S. share of countries' exports, inflation in developing countries, and the exchange rate in advanced economies. The great significance of trade share as a determinant of the position of the trade invoicing currency is an important indication of the strengthening position of developing country currencies, particularly the Chinese yuan. The obtained results confirm, with the use of more complete data, the validity of the dominant currency paradigm and enrich the still underdeveloped analysis in the area of international macroeconomics using panel data analysis.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2023, 18, 1; 153-183
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of multivariate data analysis in the construction of predictive model for the chemical properties of coke
Autorzy:
Sajdak, M.
Smędowski, Ł.
Powiązania:
https://bibliotekanauki.pl/articles/100864.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Śląski. Wydział Nauk o Ziemi
Tematy:
koks
skład chemiczny
prognoza
model matematyczny
coke
chemical composition
prediction
mathematical model
Opis:
The aim of this work was to develop a statistical model which can predict values describing chemical composition of cokes performed in industrial scale. This model was developed on the basis of data that were taken from the production system used in the one of Polish coking plant. Elaborated equation include quality parameters of initial coals that form coal blends as well as contribution of additions such as coke and petrochemical coke. These equations allow to predict chemical composition of coke, e.g. contributions of: sulphur, ash, phosphorus and chlorine within the coke. A model was elaborated with use of STATISTICA 10 program and it is based on factor and multiply regression analyses. These analyses were chosen from among few kinds of regression analyses. They allowed to develop prediction model with the required goodness of fit between calculated and actual values. Goodness of fit was elaborated with: - residuals analyses, - residues normality and predicted normality - mean absolute error - Pearson correlation confidence.
Źródło:
Contemporary Trends in Geoscience; 2013, 2, 1; 67-74
2299-8179
Pojawia się w:
Contemporary Trends in Geoscience
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-100 z 1475

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