Extracting Association Rules of Turkish Retail Company from Online Transactions: Case Study

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dc.contributor.authorSivri, Elif Şafak
dc.contributor.authorKasapbaşı, Mustafa Cem
dc.date.accessioned2024-10-12T19:51:03Z
dc.date.available2024-10-12T19:51:03Z
dc.date.issued2019
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description.abstractThe extracting association rules of inter-user-product relations used by companies in decision-making processeshave been popular for some time, especially for market basket analysis. In this study it is aimed to discoverassociation rules from original online store transaction of a Turkish retail company, in order to help administratorand decision maker also Customer Relationship Management department to initiate campaigns. The mainobjective is to find out which product item sets are bought together. In order to better compare the results thedata are analyzed with and without clustering according to range of ages and gender. Data mining Associationanalysis methods such as Apriori Algorithm, FP-Growth (Frequent Pattern) then applied which are used toextract association rules. Moreover some of the collaborative filtering metrics namely Jaccard, Pearson, andCosine function are used to understand the association between products to obtain a recommendation system.The proposed recommendation methods successfully recommended the associated product for the obtainedoriginal dataset as high as %65 accuracy. Obtained association rules are shared with the marketing department toinitiate and direct forthcoming marketing campaigns.en_US
dc.identifier.doi10.29130/dubited.510529
dc.identifier.endpage1186en_US
dc.identifier.issn2148-2446
dc.identifier.issue3en_US
dc.identifier.startpage1176en_US
dc.identifier.trdizinid388999en_US
dc.identifier.urihttps://doi.org/10.29130/dubited.510529
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/388999
dc.identifier.urihttps://hdl.handle.net/11467/8945
dc.identifier.volume7en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofDüzce Üniversitesi Bilim ve Teknoloji Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzTR-Dizin_20241012en_US
dc.titleExtracting Association Rules of Turkish Retail Company from Online Transactions: Case Studyen_US
dc.typeArticleen_US

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