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Wyświetlanie 1-6 z 6
Tytuł:
Research and application of rule updating mining algorithm for marine water quality monitoring data
Autorzy:
Sun, Q
Zhang, J.
Xu, X
Powiązania:
https://bibliotekanauki.pl/articles/258822.pdf
Data publikacji:
2018
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
marine water quality monitoring
database updating
data mining
rule updating
Opis:
This paper studies the characteristics of marine water quality monitoring data monitored by photoelectric sensor network, mines the potential information from the massive data. on account of the continuous accumulation of monitoring data, this paper focuses on the study of database with numerical attribute and proposes a rule updating algorithm for solving the rule maintenance issues caused by changes in the database. according to the rule, the algorithm forms a new database from part of the original data and the new data, and searches the new database by random search, thus can avoid creating a large number of redundant rules and can quickly mine effective rules at the same time. experimental results show that this method not only can avoid mining in the whole original massive data, but also can improve work efficiency, and can quickly and effectively find new data and find useful rules in the data with high practicability.
Źródło:
Polish Maritime Research; 2018, S 3; 136-140
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mining Pharmacy Database Using Evolutionary Genetic Algorithm
Autorzy:
Ykhlef, M.
ElGibreen, H.
Powiązania:
https://bibliotekanauki.pl/articles/226717.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
data mining
evolutionary algorithms
genetic algorithm
pharmacy database
sequential patterns
Opis:
Medication management is an important process in pharmacy field. Prescribing errors occur upstream in the process, and their effects can be perpetuated in subsequent steps. Prescription errors are an important issue for which conflicts with another prescribed medicine could cause severe harm for a patient. In addition, due to the shortage of pharmacists and to contain the cost of healthcare delivery, time is also an important issue. Former knowledge of prescriptions can reduce the errors, and discovery of such knowledge requires data mining techniques, such as Sequential Pattern. Moreover, Evolutionary Algorithms, such as Genetic Algorithm (GA), can find good rules in short time, thus it can be used to discover the Sequential Patterns in Pharmacy Database. In this paper GA is used to assess patient prescriptions based on former knowledge of series of prescriptions in order to extract sequenced patterns and predict unusual activities to reduce errors in timely manner.
Źródło:
International Journal of Electronics and Telecommunications; 2010, 56, 4; 427-432
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identifying part commonalities in a manufacturing company database
Autorzy:
Kwapisz, J.
Infante, V.
Powiązania:
https://bibliotekanauki.pl/articles/94923.pdf
Data publikacji:
2016
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
commonality
data mining
industrial database analysis
part reuse
product platform
product family
Opis:
Manufacturing companies that produce and assemble multiple products rely on databases containing thousands or even millions of parts. These databases are expensive to support, maintain and the inherent complexity does not allow end users to utilize fully such databases. Designers and engineers are often not able to find previously created parts, which they could potentially reuse, and they add one more part to the database. Engineered improvements without removal of the previous version of the component also cause the avoidable increase of elements in the database. Reuse of parts or planned development of common parts across products brings many benefits for manufacturers. Search algorithm utilized across part databases and varying projects allows identifying similar parts. The goal is to compare part names and attributes resulting in the assignment of a similarity score. Determining common and differentiating part attributes and characteristics between pairs of components allows nominating parts that can become shared in different products. The case study utilizes an industrial example to evaluate and assess the feasibility of the proposed method for identifying commonality opportunities. It turned out that it is possible to find many parts that can be potentially shared between different products.
Źródło:
Information Systems in Management; 2016, 5, 3; 336-346
2084-5537
2544-1728
Pojawia się w:
Information Systems in Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessing the quality of open spatial data for mobile location-based services research and applications
Autorzy:
Ciepłuch, B.
Mooney, P.
Jacob, R.
Zheng, J.
Winstanely, A.
Powiązania:
https://bibliotekanauki.pl/articles/130346.pdf
Data publikacji:
2011
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
database
GIS
mapping
data mining
spatial infrastructure
Internet/Web
accuracy
metadata
baza danych
mapowanie
eksploracja danych
infrastruktura przestrzenna
dokładność
metadane
Opis:
New trends in GIS such as Volunteered Geographical Information (VGI), Citizen Science, and Urban Sensing, have changed the shape of the geoinformatics landscape. The OpenStreetMap (OSM) project provided us with an exciting, evolving, free and open solution as a base dataset for our geoserver and spatial data provider for our research. OSM is probably the best known and best supported example of VGI and user generated spatial content on the Internet. In this paper we will describe current results from the development of quality indicators for measures for OSM data. Initially we have analysed the Ireland OSM data in grid cells (5km) to gather statistical data about the completeness, accuracy, and fitness for purpose of the underlying spatial data. This analysis included: density of user contributions, spatial density of points and polygons, types of tags and metadata used, dominant contributors in a particular area or for a particular geographic feature type, etc. There greatest OSM activity and spatial data density is highly correlated with centres of large population. The ability to quantify and assess if VGI, such as OSM, is of sufficient quality for mobile mapping applications and Location-based services is critical to the future success of VGI as a spatial data source for these technologies.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2011, 22; 105-116
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new data mining approach for power performance verification of an on-shore wind farm
Autorzy:
Castellani, F.
Garinei, A.
Terzi, L.
Astolfi, D.
Moretti, M.
Lombardi, A.
Powiązania:
https://bibliotekanauki.pl/articles/328750.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
wind energy
renewable energy
wind turbine performance
data mining
SCADA database
control systems
fault diagnosis
performance optimization
wind turbine power output
Opis:
Monitoring wind energy production is fundamental to improve the performances of a wind farm during the operational phase. In order to perform reliable operational analysis, data mining of all available information spreading out from turbine control systems is required. In this work a SCADA (Supervisory Control And Data Acquisition) data analysis was performed on a small wind farm and new post-processing methods are proposed for condition monitoring of the aerogenerators. Indicators are defined to detect the malfunctioning of a wind turbine and to select meaningful data to investigate the causes of the anomalous behaviour of a turbine. The operating state database is used to collect information about the proper power production of a wind turbine and a number map has been codified for converting the performance analysis problem into a purely numerical one. Statistical analysis on the number map clearly helps in detecting operational anomalies, providing diagnosis for their reasons. The most operationally stressed turbines are systematically detected through the proposal of two Malfunctioning Indices. Results demonstrate that a proper selection of the SCADA data can be very useful to measure the real performances of a wind farm and thus to define optimal repair/replacement and preventive maintenance policies that play a major role in case of energy production.
Źródło:
Diagnostyka; 2013, 14, 4; 35-42
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Practical aspects of computer-based clinical decision support systems
Autorzy:
Ossowski, A.
Powiązania:
https://bibliotekanauki.pl/articles/332898.pdf
Data publikacji:
2002
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
zasada diagnostyczna
reguła w bazie danych
eksploracja danych
optymalna klasyfikacja
komputerowy system diagnostyczny
diagnostic principle
rule in database
data mining
optimal classification
computer-based diagnostic system
Opis:
The general problem of computer-based clinical decision support systems is considered. A class of rules in medical databases characteristic for therapeutic decisions has been distinguished. The necessity of application of a complete set of data for learning computerised systems of decision support has been pointed out. Rough set approach is applied to the analysis of the problem. An illustrative example of application of the presented results in the treatment of endometrial and breast cancer is given.
Źródło:
Journal of Medical Informatics & Technologies; 2002, 3; MI61-69
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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