Association rule mining to extract knowledge from online store transactions of a turkish retail company: A case study

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dc.contributor.authorSivri, Elif Şafak
dc.contributor.authorKasapbaşı, Mustafa Cem
dc.contributor.authorKarabiber, Fettullah
dc.date.accessioned2021-04-13T09:47:38Z
dc.date.available2021-04-13T09:47:38Z
dc.date.issued2014en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractData mining techniques have been implemented in many fields namely, marketing, insurance, finance, medicine, computer science and many more. In marketing it is used as a tool to cluster and classify customers so that their buying patterns, demographical information, market basket can be analyzed to help the CRM representative and decision makers [1]. In this study online store transactions of multi-branch Turkish Retail Company have been analyzed and many associations rules have been discovered. The analyzed volume of transactions of completed sales exceeds 14000 for a single season. At first data is cleaned from unrelated fields then presented to R studio to implement the Apriori algorithm[2] in order to extract knowledge and obtain association rules between goods. Results are proven be worthy over the conventional methodologies. The extracted data are tested successfully with a sample group of customers to validate the association rules which give unique insights about customer behaviors.en_US
dc.identifier.endpage865en_US
dc.identifier.issue4en_US
dc.identifier.startpage861en_US
dc.identifier.urihttps://hdl.handle.net/11467/4835
dc.identifier.volume4en_US
dc.language.isoenen_US
dc.publisherİstanbul Aydın Üniversitesien_US
dc.relation.ispartofInternational Journal of Electronics Mechanical and Mechatronics Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAssociation Analysisen_US
dc.subjectApriori Analysisen_US
dc.subjectData Miningen_US
dc.titleAssociation rule mining to extract knowledge from online store transactions of a turkish retail company: A case studyen_US
dc.typeArticleen_US

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