A comparative analysis of information gain and apriori algorithm for identifying the best item

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dc.contributor.authorGhassemi Toosi, Farshad
dc.contributor.authorKhiavchi, Behzad
dc.date.accessioned2026-02-06T17:54:40Z
dc.date.issued2009
dc.departmentDoğu Akdeniz Üniversitesi
dc.description5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, ICSCCW 2009 --
dc.description.abstractThe aim of this paper is to present a method to identify the best item in a dataset. This is done through performing a comparative analysis between two different procedures of information gain and apriori algorithm. The former is a method used in data mining and the latter is used in decision making .A software is designed and developed for the implementation of both information gain and apriori algorithm which helps in choosing the best item by comparing the final results obtained from each method. The common attribute obtained through the comparison of the results of the two methods is then chosen as the best item.
dc.identifier.doi10.1109/ICSCCW.2009.5379486
dc.identifier.isbn9781424434282
dc.identifier.scopus2-s2.0-77950483270
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ICSCCW.2009.5379486
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/
dc.identifier.urihttps://hdl.handle.net/11129/7530
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_Scopus_20260204
dc.subjectApriori algorithms
dc.subjectComparative analysis
dc.subjectData sets
dc.subjectInformation gain
dc.subjectDecision making
dc.subjectSystems analysis
dc.subjectSoft computing
dc.titleA comparative analysis of information gain and apriori algorithm for identifying the best item
dc.typeConference Object

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