Extracting Association Rules of Turkish Retail Company from Online Transactions: Case Study
Yazarlar (2)
Elif Şafak Sivri
İstanbul Ticaret Üniversitesi, Türkiye
İstanbul Ticaret Üniversitesi, Türkiye
Prof. Dr. Mustafa Cem KASAPBAŞI İstanbul Ticaret Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(Ulusal alan endekslerinde (TR Dizin, ULAKBİM) yayınlanan tam makale)
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| Dergi Adı | Düzce Üniversitesi Bilim ve Teknoloji Dergisi | ||
| Dergi ISSN | 2148-2446 | ||
| Dergi Tarandığı Indeksler | TR DİZİN | ||
| Makale Dili | İngilizce | Basım Tarihi | 07-2019 |
| Cilt / Sayı / Sayfa | 7 / 3 / 1176–1186 | DOI | 10.29130/dubited.510529 |
| Makale Linki | http://dergipark.org.tr/doi/10.29130/dubited.510529 | ||
| UAK Araştırma Alanları |
Bilgi Güvenliği ve Kriptoloji
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| Özet |
| The 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 … |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 1 |