Feature Selection with Artificial Bee Colony Algorithm on Z-Alizadeh Sani Dataset

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dc.authoridKilic, Umit/0000-0001-8067-6024
dc.contributor.authorKılıç, Umit
dc.contributor.authorKaya Keles, Mumine
dc.date.accessioned2025-01-06T17:36:26Z
dc.date.available2025-01-06T17:36:26Z
dc.date.issued2018
dc.descriptionInnovations in Intelligent Systems and Applications Conference (ASYU) -- OCT 04-06, 2018 -- Adana, TURKEY
dc.description.abstractRelevant and irrelevant features compose data. Evaluation of these features is the fundamental task for classification and clustering processes and during this processes, irrelevant features induce obtaining false results. Likewise, due to the relevant features' direct effect on the processes, results can be more correct and stable. This also represents the aim of the feature selection process that tries to achieve as high as possible results with as small as possible feature selection subset. In this study, Artificial Bee Colony (ABC) algorithm based feature selection method is updated and employed on Z-Alizadeh Sani data set that consists of 56 features including the class attribute collected from 303 patients. 16 of the 56 features are selected by ABC based updated feature selection method. Also, accuracy and F-measure values are measured as 89.4% and 0.894 respectively, which are higher than the values produced by the raw dataset.
dc.description.sponsorshipCUKUROVA Univ,Yildiz Tech Univ,IEEE Turkey Sect,Cukurova Univ Comp Eng Dept
dc.description.sponsorshipScientific Research Projects Commission Unit of Adana Science and Technology University [18332001, 18103004]
dc.description.sponsorshipThis study was supported by Scientific Research Projects Commission Unit of Adana Science and Technology University under Grant Number: 18332001 and Grant Number: 18103004. Please send all your correspondence to [email protected] which is the e-mail address of our Corresponding Author.
dc.identifier.endpage62
dc.identifier.isbn978-1-5386-7786-5
dc.identifier.startpage60
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1880
dc.identifier.wosWOS:000455592800007
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2018 Innovations in Intelligent Systems and Applications Conference (Asyu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectArtificial Bee Colony Algorithm
dc.subjectClassification
dc.subjectData Mining
dc.subjectFeature Selection
dc.subjectZ-Alizadeh Sani Dataset
dc.titleFeature Selection with Artificial Bee Colony Algorithm on Z-Alizadeh Sani Dataset
dc.typeConference Object

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