Determination of Classification Rules for Heart Diseases

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dc.contributor.authorKahramanli, Humar
dc.contributor.authorAllahverdi, Novruz
dc.date.accessioned2020-03-26T17:26:37Z
dc.date.available2020-03-26T17:26:37Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.descriptionIEEE 16th Signal Processing and Communications Applications Conference -- APR 20-22, 2008 -- Aydin, TURKEYen_US
dc.description.abstractAlthough Artificial Neural Network (ANN) usually reaches high classification accuracy, the obtained results sometimes 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 this study for the purpose of extracting rules from ANN which has been trained for classification has been used OptaiNET that is an Artificial Immune Algorithm (AIS) and a set of rules has been formed for heart diseases. Me proposed method is named as OPTBP.en_US
dc.description.sponsorshipIEEEen_US
dc.identifier.endpage456en_US
dc.identifier.isbn978-1-4244-1998-2
dc.identifier.startpage453en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22307
dc.identifier.wosWOS:000261359200112en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2008 IEEE 16TH SIGNAL PROCESSING, COMMUNICATION AND APPLICATIONS CONFERENCE, VOLS 1 AND 2en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleDetermination of Classification Rules for Heart Diseasesen_US
dc.typeConference Objecten_US

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