| Yazarlar (3) |
Elif Şafak Sivri
|
Doç. Dr. Mustafa Cem KASAPBAŞI
İstanbul Ticaret Üniversitesi |
|
Fettullah Karabiber
|
| Özet |
| Data 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. |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale |
| Dergi Adı | INTERNATIONAL JOURNAL OF ELECTRONICS MECHANICAL and MECHATRONICS ENGINEERING |
| Dergi ISSN | 2146-0604 |
| Dergi Tarandığı Indeksler | EBSCO |
| Makale Dili | İngilizce |
| Basım Tarihi | 05-2015 |
| Cilt No | 4 |
| Sayı | 4 |
| Makale Linki | http://www.aydin.edu.tr/ijemme/index.asp?id=41 |
