Association rules mining on retail data

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dc.authorid0000-0002-2190-4135
dc.authorid0000-0002-9430-8975
dc.contributor.authorDağaslanı, Hatice
dc.contributor.authorDeniz Başar, Özlem
dc.date.accessioned2024-10-12T19:42:59Z
dc.date.available2024-10-12T19:42:59Z
dc.date.issued2022
dc.departmentİstanbul Ticaret Üniversitesi, Fen Bilimleri Enstitüsü, İstatistik Ana Bilim Dalıen_US
dc.departmentİstanbul Ticaret Üniversitesi, İnsan ve Toplum Bilimleri Fakültesi, İstatistik Bölümü
dc.description.abstractThe development in information technologies, artificial intelligence, and data mining benefits people in many areas. With this development, data stacks are formed through the storage of ever-increasing data. Accessing useful information from the data heaps is a very difficult process. This has led to the emergence and development of the concept of data mining. In this study, the relationship between the categories of the products sold by a company in the retail sector operating in Turkey was analyzed using the Apriori algorithm, which is an algorithm used in data mining. In the application, one-day sales data of the company was used. The data obtained was provided to extract the association rules with the help of Python. In this way, the purchasing habits of customers were determined by finding meaningful relationships between products using association rules. en_US
dc.identifier.citationDağaslanı, H., & Deniz Başar, Ö. (2022). Association Rules Mining on Retail Data. EKOIST Journal of Econometrics and Statistics, 0(37), 199-211.
dc.identifier.doi10.26650/ekoist.2022.37.1145052
dc.identifier.endpage211
dc.identifier.issn2651-396X
dc.identifier.issue37en_US
dc.identifier.startpage199
dc.identifier.trdizinid1173355en_US
dc.identifier.urihttps://doi.org/10.26650/ekoist.2022.37.1145052
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1173355
dc.identifier.urihttps://hdl.handle.net/11467/8705
dc.identifier.volume0
dc.identifier.wosWOS:001322538800010en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherİstanbul Üniversitesien_US
dc.relation.ispartofEkoist-Journal Of Econometrics And Statisticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Öğrencien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectApriori Algorithmen_US
dc.subjectAssociation Rules Analysisen_US
dc.subjectData Miningen_US
dc.titleAssociation rules mining on retail dataen_US
dc.typeArticleen_US

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