标题：Integrating Data Mining and Knowledge Management to Improve Customer Relationship Management in Banking Industry (Case Study of Caspian Credit Institution)
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2018
卷号：7
期号：3
页码：208-214
出版社：IJCSN publisher
摘要：Banks and financial - credit institutions by customer relationship management database analysis can manage to identify
customers and allocate resources to profitable customers in a better manner. This study aims to find an index for customers, using
customer characteristics to identify significant profitable customers of banking system. In this way we will be able to provide them with
more adequate facilities. To do so, mix method of fuzzy clustering and imperialist competitive algorithm has been applied to accomplish
customer data clustering; then Fuzzy C-Means and criteria of sum of intra – cluster distances were used to evaluate the method. Results
display minimum and maximum as 39.270153 and 53.100917 respectively which at least are 6000 units less than the compared method.
This indicates advantage of the suggested method compare to the other.
