Banka Müşterilerinin İnternet Bankacılığına İlişkin Yaklaşımlarının Veri Madenciliği Teknikleri ile İncelenmesi
Identifying Bank Customers Approach on Internet Banking by Using Data Mining Techniques
Author(s): U. Tuğba Gürsoy, Şafiye BilginSubject(s): Business Economy / Management, Recent History (1900 till today), Social Informatics, Marketing / Advertising, ICT Information and Communications Technologies
Published by: Kafkas Üniversitesi Sağlık, Kültür ve Spor Daire Başkanlığı Dijital Baskı Merkezi
Keywords: Data mining; Internet banking; association rules analysis;
Summary/Abstract: In this study, Data Mining techniques are applied to the data gathered from a bank’s data warehouse. The online banking became very popular among the bank customers with the development of internet. The aim of usage of data mining techniques, is to determine the profile of internet banking users. The banks which are used for internet banking, the transactions done by customers and the factors that are effective on bank customers using internet banking are analyzed with the help of Cluster Analysis and Association Rules. In addition to this, profiles of bank customers who do not use internet banking are examined in this study and the reasons and the causes of not using internet banking have also been analyzed.
Journal: Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
- Issue Year: 7/2016
- Issue No: 14
- Page Range: 421-442
- Page Count: 22
- Language: Turkish