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Wyświetlanie 1-15 z 28
Tytuł:
Age and perception of non-financial work aspects by Poles
Autorzy:
Grześkowiak, Alicja
Powiązania:
https://bibliotekanauki.pl/articles/425258.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
work values
categorical data
association rules
Opis:
The article presents the problem of the co-occurrences of opinions on important non-financial work aspects among people from different age groups reflecting various stages of professional development: career start, phase of attainments, stage of preserving attainments and a rest phase. The study is based on non-metric survey data, which determines the use of adequate research methods. Association analysis is applied in order to identify patterns of responses. The revealed association rules indicate that there are differences in the perception of non-financial work values among respondents from different age intervals.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 3(45); 9-18
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wykorzystanie wielowymiarowych reguł asocjacyjnych do poszukiwania uwarunkowań satysfakcji klientów z usług jednostek samorządu terytorialnego
The use of multidimensional association rules in search of determinants of customer satisfaction with services of local government units
Autorzy:
Błoński, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/420094.pdf
Data publikacji:
2015
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
customer satisfaction
association rules
local government
Opis:
The article aims at presenting the results of the application of multidimensional association rules to explore the potential determinants of satisfaction with services. The bases for the search are the results of a study on the importance of social engagement and attachment to the place of residence to the satisfaction of the services provided by LGUs. The article has a research nature and has been prepared on the basis of the results of the survey. The research procedure also benefited from the literature in sociology and data mining available in the form of books and articles. The results of the carried out analysis indicate that between social engagement and satisfaction with services provided by LGUs and attachment to the place of residence and satisfaction with the services there are links and they can be pointed to as determinants of customer satisfaction. One should not assume that the two mentioned relationships relate to the entire studied population, but to the selected groups.
Źródło:
Nauki o Zarządzaniu; 2015, 4 (25); 28-37
2080-6000
Pojawia się w:
Nauki o Zarządzaniu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evolutionary algorithms and fuzzy sets for discovering temporal rules
Autorzy:
Matthews, S. G.
Gongora, M. A.
Hopgood, A. A.
Powiązania:
https://bibliotekanauki.pl/articles/330148.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fuzzy association rules
temporal association rules
multi objective evolutionary algorithm
reguła asocjacji rozmytej
wieloobiektowy algorytm ewolucyjny
Opis:
A novel method is presented for mining fuzzy association rules that have a temporal pattern. Our proposed method contributes towards discovering temporal patterns that could otherwise be lost from defining the membership functions before the mining process. The novelty of this research lies in exploring the composition of fuzzy and temporal association rules, and using a multi-objective evolutionary algorithm combined with iterative rule learning to mine many rules. Temporal patterns are augmented into a dataset to analyse the method’s ability in a controlled experiment. It is shown that the method is capable of discovering temporal patterns, and the effect of Boolean itemset support on the efficacy of discovering temporal fuzzy association rules is presented.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2013, 23, 4; 855-868
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Association rules in medical data classification
Autorzy:
Kasperczuk, Anna
Jasińska, Aleksandra
Zdrodowska, Małgorzata
Dardzińska-Głębocka, Agnieszka
Powiązania:
https://bibliotekanauki.pl/chapters/2204723.pdf
Data publikacji:
2022
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
association rules
classification
classification based on association (CBA)
Opis:
This chapter is focused on the application of association rules to classify medical data. There is no data mining technique that can produce consistent results for all types of medical data. The effectiveness of a data mining technique depends, among other things, on the type of data collected for study. The purpose of the following work is to see if combining two data mining methods will give better results than using them individually. For this purpose, data on breast cancer in women was used. The results showed that using a hybrid combination of association rules to produce a classifier can improve classification performance.
Źródło:
Advances in biomedical engineering; 123–142
9788367185400
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Class association rules with occurrence count in image classification
Autorzy:
Kobyliński, Ł.
Walczak, K.
Powiązania:
https://bibliotekanauki.pl/articles/1943275.pdf
Data publikacji:
2007
Wydawca:
Politechnika Gdańska
Tematy:
image
classification
class association rules
associative classifiers
Opis:
The concept of utilizing association rules for classification has emerged in recent years. This approach has often proved to be more efficient and accurate than traditional techniques. In this paper we extend the existing associative classifier building algorithms and apply them to the problem of image classification. We describe a set of photographs with features calculated on the basis of their color and texture characteristics and experiment with different types of rules which use the information about the existence of a particular feature in an image, its occurrence count and spatial proximity to classify the images accurately. We suggest using association rules more closely tied to the nature of the image data and compare the results with those of classification with simpler rules, taking into consideration only the existence of a particular feature on an image.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2007, 11, 1-2; 35-45
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mining indirect association rules for web recommendation
Autorzy:
Kazienko, P.
Powiązania:
https://bibliotekanauki.pl/articles/907860.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
reguły asocjacji
system zalecany
badanie sieci
association rules
indirect association rules
recommender system
web mining
web usage mining
Opis:
Classical association rules, here called 'direct', reflect relationships existing between items that relatively often co-occur in common transactions. In the web domain, items correspond to pages and transactions to user sessions. The main idea of the new approach presented is to discover indirect associations existing between pages that rarely occur together but there are other, 'third' pages, called transitive, with which they appear relatively frequently. Two types of indirect associations rules are described in the paper: partial indirect associations and complete ones. The former respect single transitive pages, while the latter cover all existing transitive pages. The presented IDARM* Algorithm extracts complete indirect association rules with their important measure-confidence-using pre-calculated direct rules. Both direct and indirect rules are joined into one set of complex association rules, which may be used for the recommendation of web pages. Performed experiments revealed the usefulness of indirect rules for the extension of a typical recommendation list. They also deliver new knowledge not available to direct ones. The relation between ranking lists created on the basis of direct association rules as well as hyperlinks existing on web pages is also examined.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2009, 19, 1; 165-186
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on operation fault diagnosis algorithm of power grid equipment based on power big data
Autorzy:
Qian, Jianguo
Zhu, Bingquan
Li, Ying
Shi, Zhengchai
Powiązania:
https://bibliotekanauki.pl/articles/949910.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
association rules
big data
data mining
fault diagnosis
grid equipment
Opis:
Power big data contains a lot of information related to equipment fault. The analysis and processing of power big data can realize fault diagnosis. This study mainly analyzed the application of association rules in power big data processing. Firstly, the association rules and the Apriori algorithm were introduced. Then, aiming at the shortage of the Apriori algorithm, an IM-Apriori algorithm was designed, and a simulation experiment was carried out. The results showed that the IM-Apriori algorithm had a significant advantage over the Apriori algorithm in the running time. When the number of transactions was 100 000, the running of the IM-Apriori algorithm was 38.42% faster than that of the Apriori algorithm. The IM-Apriori algorithm was little affected by the value of supportmin. Compared with the Extreme Learning Machine (ELM), the IM-Apriori algorithm had better accuracy. The experimental results show the effectiveness of the IM-Apriori algorithm in fault diagnosis, and it can be further promoted and applied in power grid equipment.
Źródło:
Archives of Electrical Engineering; 2020, 69, 4; 793-800
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of quantitative association rules in cellular network planning
Autorzy:
Okoniewski, M.
Powiązania:
https://bibliotekanauki.pl/articles/307803.pdf
Data publikacji:
2003
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
data mining
quantitative association rules
knowledge discovery process
cellular network planning
Opis:
This paper describes the problem of planning cellular network base stations with optimization to traffic requirements. This research problem was a main incentive to add some development to the theory of association rules. The new form of quantitative and multi-dimensional association rules, unlike other approaches, does not require the discretization of real value attributes as a preprocessing step. They are discovered with data driven algorithm that gives precise and complete results and has polynomial complexity for a given dimensionality.
Źródło:
Journal of Telecommunications and Information Technology; 2003, 3; 121-124
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
ZASTOSOWANIE TECHNIK EKSPLORACJI TEKSTU DO ANALIZY OPINII KONSUMENCKICH
APPLICATION OF TEXT MINING TECHNIQUES FOR THE CUSTOMER REVIEWS ANALYSIS
Autorzy:
Ząbkowski, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/452951.pdf
Data publikacji:
2014
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
eksploracja tekstu
reguły asocjacyjne
opinie konsumenckie
text mining
association rules
customer reviews
Opis:
W niniejszej publikacji zaproponowano jedną z metod eksploracji danych – reguły asocjacyjne do wykrycia zależności w opiniach konsumenckich, na przykładzie opinii jednego z hoteli amerykańskich. Wykorzystanie tej techniki wynikało m.in. z dużej ilości dostępnych danych oraz faktu, że otrzymane reguły w sposób niezwykle czytelny prezentują zależności znalezione w danych. W badaniu odkryto szereg reguł, które mogą stanowić cenne źródło informacji o jakości usług oraz postrzeganiu obiektu przez klientów korzystających z usług hotelowych.
This paper presents application of one of data mining techniques – association rules to analyze customer reviews, based on the data gathered at one of the American hotels. The application of association rules is due to the large volume of available review data and the fact that the rules can be presented in a very clear and meaningful way. The study resulted in a number of interesting rules that can be a valuable source of information about the quality of services and the perception of the hotel by the clients.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2014, 15, 4; 101-110
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluation of the on-line commercial service quality based on association rules
Autorzy:
Szyda, Monika
Czarnowski, Ireneusz
Powiązania:
https://bibliotekanauki.pl/articles/432412.pdf
Data publikacji:
2017
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
e-commerce
e-quality evaluation
e-customer satisfaction
association rules
data mining
Opis:
The existing approaches to the evaluation of on-line commercial services quality include various quality indicators. The application of multiple attributes for quality evaluation enables and involves specialized analysis techniques to carry it out. This article proposes to utilize association rules in the quality evaluation of the on-line services. The analysis carried out of the discovered association rules has provided interesting dependencies and relationships on the individual characteristics of the on-line commercial service. On the basis of such on analysis, conclusions can be made regarding the general quality of the on-line commercial services. The discovered dependencies and connections can be used in shaping online commercial service quality. Conclusions from the analysis of the association rules can therefore be used to improve the on-line commercial service quality comprehensively which can lead to the higher satisfaction of e-customers
Źródło:
Informatyka Ekonomiczna; 2017, 1(43); 66-85
1507-3858
Pojawia się w:
Informatyka Ekonomiczna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Minimal Decision Rules Based on the Apriori Algorithm
Autorzy:
Fernandez, M. C.
Menasalvas, E.
Marban, O.
Pena, J. M.
Millan, S.
Powiązania:
https://bibliotekanauki.pl/articles/908364.pdf
Data publikacji:
2001
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
baza danych
algorytmy
rough sets
rough dependencies
association rules
a priori algorithm
minimal decision rules
Opis:
Based on rough set theory many algorithms for rules extraction from data have been proposed. Decision rules can be obtained directly from a database. Some condition values may be unnecessary in a decision rule produced directly from the database. Such values can then be eliminated to create a more comprehensible (minimal) rule. Most of the algorithms that have been proposed to calculate minimal rules are based on rough set theory or machine learning. In our approach, in a post-processing stage, we apply the Apriori algorithm to reduce the decision rules obtained through rough sets. The set of dependencies thus obtained will help us discover irrelevant attribute values.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2001, 11, 3; 691-704
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Customer’s Purchase Prediction Using Customer Segmentation Approach for Clustering of Categorical Data
Autorzy:
Singh, Juhi
Mittal, Mandeep
Powiązania:
https://bibliotekanauki.pl/articles/1841413.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
categorical data
clustering algorithm
frequent pattern mining
association rules
customer relationship management
Opis:
Traditional clustering algorithms which use distance between a pair of data points to calculate their similarity are not suitable for clustering of boolean and categorical attributes. In this paper, a modified clustering algorithm for categorical attributes is used for segmentation of customers. Each segment is then mined using frequent pattern mining algorithm in order to infer rules that helps in predicting customer’s next purchase. Generally, purchases of items are related to each other, for example, grocery items are frequently purchased together while electronic items are purchased together. Therefore, if the knowledge of purchase dependencies is available, then those items can be grouped together and attractive offers can be made for the customers which, in turn, increase overall profit of the organization. This work focuses on grouping of such items. Various experiments on real time database are implemented to evaluate the performance of proposed approach.
Źródło:
Management and Production Engineering Review; 2021, 12, 2; 57-64
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Combination of Association Rules and Optimization Model to Solve Scheduling Problems in an Unstable Production Environment
Autorzy:
Del Gallo, Mateo
Ciarapica, Filippo Emanuele
Mazzuto, Giovanni
Bevilacqua, Maurizio
Powiązania:
https://bibliotekanauki.pl/articles/27324213.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
data mining
association rules
optimization model
production scheduling
job-shop scheduling
flow shop scheduling
Opis:
Production problems have a significant impact on the on-time delivery of orders, resulting in deviations from planned scenarios. Therefore, it is crucial to predict interruptions during scheduling and to find optimal production sequencing solutions. This paper introduces a selflearning framework that integrates association rules and optimisation techniques to develop a scheduling algorithm capable of learning from past production experiences and anticipating future problems. Association rules identify factors that hinder the production process, while optimisation techniques use mathematical models to optimise the sequence of tasks and minimise execution time. In addition, association rules establish correlations between production parameters and success rates, allowing corrective factors for production quantity to be calculated based on confidence values and success rates. The proposed solution demonstrates robustness and flexibility, providing efficient solutions for Flow-Shop and Job-Shop scheduling problems with reduced calculation times. The article includes two Flow-Shop and Job-Shop examples where the framework is applied.
Źródło:
Management and Production Engineering Review; 2023, 14, 4; 56--70
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Lean principles for organizing items in an automated storage and retrieval system: an association rule mining – based approach
Autorzy:
Bevilacqua, Maurizio
Ciarapica, Filippo Emanuele
Antomarioni, Sara
Powiązania:
https://bibliotekanauki.pl/articles/407183.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
lean management
AS/RS
Association Rules
Data Mining
Industry 4.0
5S
shoe manufacturing
Opis:
The application of the 5S methodology to warehouse management represents an important step for all manufacturing companies, especially for managing products that consist of a large number of components. Moreover, from a lean production point of view, inventory management requires a reduction in inventory wastes in terms of costs, quantities and time of non-added value tasks. Moving towards an Industry 4.0 environment, a deeper understanding of data provided by production processes and supply chain operations is needed: the application of Data Mining techniques can provide valuable support in such an objective. In this context, a procedure aiming at reducing the number and the duration of picking processes in an Automated Storage and Retrieval System. Association Rule Mining is applied for reducing time wasted during the storage and retrieval activities of components and finished products, pursuing the space and material management philosophy expressed by the 5S methodology. The first step of the proposed procedure requires the evaluation of the picking frequency for each component. Historical data are analyzed to extract the association rules describing the sets of components frequently belonging to the same order. Then, the allocation of items in the Automated Storage and Retrieval System is performed considering (a) the association degree, i.e., the confidence of the rule, between the components under analysis and (b) the spatial availability. The main contribution of this work is the development of a versatile procedure for eliminating time waste in the picking processes from an AS/RS. A real-life example of a manufacturing company is also presented to explain the proposed procedure, as well as further research development worthy of investigation.
Źródło:
Management and Production Engineering Review; 2019, 10, 1; 29-36
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza opóźnień samolotów pasażerskich z wykorzystaniem reguł asocjacyjnych
Analysis of flights’ delays using association rules
Autorzy:
Dramski, M.
Mąka, M.
Powiązania:
https://bibliotekanauki.pl/articles/314393.pdf
Data publikacji:
2018
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
zasady asocjacji
opóźnienia lotów
transport lotniczy
eksploracja danych
association rules
data mining
flights delays
air transport
Opis:
Wydajność transportu pasażerskiego w tym lotnictwa cywilnego, jest kluczowa dla światowej gospodarki. Jednym z głównych czynników oceny linii lotniczych przez pasażerów jest punktualność. Należy tu uwzględnić również fakt, że sieć połączeń między lotniskami na całym świecie jest niezwykle skomplikowana. Powyższe fakty prowadzą do wniosku, że można stworzyć narzędzie, które pomoże pasażerom planować ich podróż w sposób optymalny. W niniejszym artykule do analizy ponad 7 milionów lotów na terenie Stanów Zjednoczonych, zastosowano reguły asocjacyjne. Dane pozyskano z Departamentu Transportu USA i obejmują one loty, które odbyły się w 2008 roku.
The efficiency of air passenger transport in world's economy is crucial. For this kind of flights, one of the most important features is punctuality. The network of connections between the airports, very often is significantly complicated. It leads to the conclusion that there is a need to do some research in this field which will help the passengers to plan their optimal journeys. In this paper one of the data mining techniques (association rules) was applied to the analysis of flights' delays. The data consists of over 7 millions records was taken from the US Department of Transportation (year 2008) [2]. Then the research was carried out and conclusions were described.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2018, 19, 12; 755-757
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 28

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