Determination of classification rules for heart diseases [Kalp hastaliklari veri tabani için siniflandirma kurallarinin bulunmasi]

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dc.contributor.authorKahramanlı, Humar
dc.contributor.authorAllahverdi, Novruz
dc.date.accessioned2020-03-26T17:28:33Z
dc.date.available2020-03-26T17:28:33Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU -- 20 April 2008 through 22 April 2008 -- Aydin -- 74111en_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. The proposed method is named as OPTBP. ©2008 IEEE.en_US
dc.identifier.doi10.1109/SIU.2008.4632649en_US
dc.identifier.isbn9.78142E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://dx.doi.org/10.1109/SIU.2008.4632649
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22801
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.relation.ispartof2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIUen_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 diseases [Kalp hastaliklari veri tabani için siniflandirma kurallarinin bulunmasi]en_US
dc.typeConference Objecten_US

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