| Autor: |
Umman Tuğba Şimşek Gürsoy, Özlem Akçay Kasapoğlu, Kutluk Atalay |
| Jazyk: |
English<br />Turkish |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Alphanumeric Journal, Vol 7, Iss 2, Pp 357-368 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2148-2225 |
| DOI: |
10.17093/alphanumeric.585663 |
| Popis: |
Data mining is the process of extracting meaningful information from big data sets. Data mining technique, which is widely used, has been applied to an e-commerce website in this study. In this study, it is aimed to obtain the profiles of people who shop online and to determine which e-commerce sites they use together. For this purpose, Association rules analysis is applied. Support, confidence and lift ratios and ranking of both web sites and product categories that consumers make purchases are performed. R programming language is used in the application and the results of the analysis are obtained with Apriori and Eclat algorithms. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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