Determination of association rules with market basket analysis: application in the retail sector

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dc.authorid0000-0002-8098-3611en_US
dc.contributor.authorAyvaz, Berk
dc.contributor.authorSağın, Ayşe Nur
dc.date.accessioned2019-08-07T09:14:32Z
dc.date.available2019-08-07T09:14:32Z
dc.date.issued2018en_US
dc.departmentFakülteler, Mühendislik ve Tasarım Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractMarket basket analysis is the process of extracting purchasing trends from records in company databases, taking into account the products that customers buy in a single transaction. In this study, a market basket analysis was conducted on a five-and-a-half year data of a large hardware company operating in the retail sector, and related product categories were identified. In determining the association rules, both the Apriori and FP-Growth algorithms were run separately and their usefulness in such a set of data was compared. In addition, the data set was divided into Data Set-1 and Data Set-2 so that the consistency of the rules was discussed by comparing the correctness of rules extracted from the first data set with rules derived from the second data set containing consecutive timed dataen_US
dc.identifier.endpage19en_US
dc.identifier.issue1en_US
dc.identifier.startpage10en_US
dc.identifier.urihttps://hdl.handle.net/11467/2844
dc.identifier.volume7en_US
dc.language.isoenen_US
dc.publisherOperations Research Society in Bosnia and Herzegovinaen_US
dc.relation.ispartofSoutheast Europe Journal of Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectApriori Algorithmen_US
dc.subjectAssociation Rulesen_US
dc.subjectData Miningen_US
dc.subjectFP-Growth Algorithmen_US
dc.subjectMarket Basket Analysisen_US
dc.titleDetermination of association rules with market basket analysis: application in the retail sectoren_US
dc.typeArticleen_US

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