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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Research on Customer Segmentation Method of Commercial Bank Based on Data Mining

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DOI: 10.25236/icidel.2017.016


Dapeng Dong, Jianhua Zhang, Jianwen Ye

Corresponding Author

Jianhua Zhang


At present, in the field of commercial banks, customer relationship management (CRM) is a focus of customer-centric management of commercial banks. Who can accurately use the data mining technology to commercial bank customer information classification, mining and processing will success. And then customers should be segmented in order to timely make adjustments and improvements to adapt to market changes, and seek more business interests. To this end, this paper analyses the role of customer relationship management and data mining, as well as their current development. Through the analysis of data mining K-means algorithm and a large number of customer information summary analysis, and then much effective information is available to customers. The purpose of the subdivision is to help commercial banks carry out the implementation of CRM, which has a particularly important significance.


Data mining, Customer relationship management, K-means algorithm, Customer segmentation.