Re-mining item associations: Methodology and a case study in apparel retailing

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dc.authorid0000-0002-5731-3134
dc.authorid0000-0002-5167-4836
dc.authorid0000-0002-3241-4617
dc.authorid0000-0002-4061-5873
dc.contributor.authorDemiriz, Ayhanen_US
dc.contributor.authorErtek, Gürdalen_US
dc.contributor.authorAtan, Sabri Tankuten_US
dc.contributor.authorKula, Ufuken_US
dc.date.accessioned2015-01-15T23:01:50Z
dc.date.available2015-01-15T23:01:50Z
dc.date.issued2011-12
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.descriptionThis work is financially supported by the Turkish Scientific Research Council under Grant TUBITAK 107M257. The authors would also like to thank one anonymous reviewer for helpful comments.en_US
dc.description.abstractAssociation mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items. While being an integral part of transaction data, pricing and time information have not been integrated into market basket analysis in earlier studies. This paper proposes a new approach to mine price, time and domain related attributes through re-mining of association mining results. The underlying factors behind positive and negative relationships can be characterized and described through this second data mining stage. The applicability of the methodology is demonstrated through the analysis of data coming from a large apparel retail chain, and its algorithmic complexity is analyzed in comparison to the existing techniques.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationDemiriz, A., Ertek, G., Atan, S. T. & Kula, U. (2011). Re-mining item associations: Methodology and a case study in apparel retailing. Decision Support Systems, 52(1), 284-293. doi:10.1016/j.dss.2011.08.004en_US
dc.identifier.doi10.1016/j.dss.2011.08.004
dc.identifier.endpage293
dc.identifier.issn0167-9236
dc.identifier.issue1
dc.identifier.scopus2-s2.0-80455160373
dc.identifier.scopusqualityQ1
dc.identifier.startpage284
dc.identifier.urihttps://hdl.handle.net/11729/398
dc.identifier.urihttp://dx.doi.org/10.1016/j.dss.2011.08.004
dc.identifier.volume52
dc.identifier.wosWOS:000297889400026
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorAtan, Sabri Tankuten_US
dc.institutionauthorid0000-0002-3241-4617
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherElsevier Science BVen_US
dc.relation.ispartofDecision Support Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData miningen_US
dc.subjectAssociation miningen_US
dc.subjectNegative associationen_US
dc.subjectApparel retailingen_US
dc.subjectInductive decision treesen_US
dc.subjectRetail dataen_US
dc.subjectRulesen_US
dc.subjectComplexityen_US
dc.subjectFrameworken_US
dc.subjectAlgorithmen_US
dc.subjectDecision treesen_US
dc.subjectParallel processing systemsen_US
dc.subjectTrees (mathematics)en_US
dc.titleRe-mining item associations: Methodology and a case study in apparel retailingen_US
dc.typeArticleen_US
dspace.entity.typePublication

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