ARM: An Interactive Web Software for Association Rules Mining and an Application in Medicine

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dc.authoridYagin, Fatma Hilal/0000-0002-9848-7958
dc.authoridYologlu, Saim/0000-0002-9619-3462
dc.authoridGÜLDOĞAN, Emek/0000-0002-5436-8164
dc.authorwosidYagin, Fatma Hilal/ABI-8066-2020
dc.authorwosidYologlu, Saim/ABI-8014-2020
dc.authorwosidGÜLDOĞAN, Emek/ABH-5460-2020
dc.contributor.authorPercin, Ibrahim
dc.contributor.authorYagin, Fatma Hilal
dc.contributor.authorGuldogan, Emek
dc.contributor.authorYologlu, Saim
dc.date.accessioned2024-08-04T20:46:55Z
dc.date.available2024-08-04T20:46:55Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractIn this study, it is aimed to develop a user-friendly, interactive web software for association rules mining. In the developed software, among the association rule methods; Filtered Associatior, Apriori, Frequent Pattern Growth, Predictive Apriori, Generalized Sequential Patterns, HotSpot, Tertius algorithms are used. In addition, association rules algorithms have certain limitation(s) regarding the structure of the data set. Therefore, preprocess menu in the software includes missing value assignment and variable type conversion, methods. In order to evaluate the association rules, support and confidence criteria are present in the software. However, it is not always possible to distinguish interesting and important rules only according to criteria of support and confidence. Therefore, in the proposed software; leverage, lift and conviction criteria are also included. A medical application is performed by using association rules mining, and the experimental results are evaluated based on the outputs of the developed software.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesien_US
dc.identifier.doi10.1109/idap.2019.8875885
dc.identifier.scopus2-s2.0-85074890587en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/idap.2019.8875885
dc.identifier.urihttps://hdl.handle.net/11616/99040
dc.identifier.wosWOS:000591781100017en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAssociation rulesen_US
dc.subjectdata miningen_US
dc.subjectweb-based softwareen_US
dc.subjectJavaen_US
dc.titleARM: An Interactive Web Software for Association Rules Mining and an Application in Medicineen_US
dc.typeConference Objecten_US

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