Extracting rules for classification problems: AIS based approach

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dc.contributor.authorKahramanli, Humar
dc.contributor.authorAllahverdi, Novruz
dc.date.accessioned2020-03-26T17:38:40Z
dc.date.available2020-03-26T17:38:40Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractAlthough Artificial Neural Network (ANN) usually reaches high classification accuracy, the obtained results in most cases may be incomprehensible. This fact is causing a serious problem in data mining applications. The rules that are derived from ANN are needed to be formed to solve this problem and various methods have been improved to extract these rules. In our previous work, a hybrid neural network was presented for classification (Kahramanli & Allahverdi, 2008). In this study a method that uses Artificial Immune Systems (AIS) algorithm has been presented to extract rules from trained hybrid neural network. The data were obtained from the University of California at Irvine (UCI) machine learning repository. The datasets are Cleveland heart disease and Hepatitis data. The proposed method achieved accuracy values 96.4% and 96.8% for Cleveland heart disease dataset and Hepatitis dataset respectively. It is been observed that these results are one of the best results comparing with results obtained from related previous studies and reported in UCI web sites. (C) 2009 Published by Elsevier Ltd.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis study is supported by the Scientific Research Projects Unit of Selcuk University.en_US
dc.identifier.doi10.1016/j.eswa.2009.01.029en_US
dc.identifier.endpage10502en_US
dc.identifier.issn0957-4174en_US
dc.identifier.issn1873-6793en_US
dc.identifier.issue7en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage10494en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2009.01.029
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23543
dc.identifier.volume36en_US
dc.identifier.wosWOS:000266851000034en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectHybrid neural networksen_US
dc.subjectArtificial Immune Systemsen_US
dc.subjectOptimizationen_US
dc.subjectRule extractionen_US
dc.subjectOpt-aiNETen_US
dc.titleExtracting rules for classification problems: AIS based approachen_US
dc.typeArticleen_US

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