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Segmentation of the Bank Client Value Based on Fuzzy Data Mining

In: Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012)

Author

Listed:
  • Hong-bo Wu

    (Harbin University of Science and Technology)

  • Ming-hui Guan

    (Harbin University of Science and Technology)

Abstract

First, this paper will analyze the connotation of individual bank clients’ value in-depth. Based on this foundation, the main factors that reflect the client value will be selected. Then it will use the expert method to build a client value evaluation system. Finally, using the fuzzy data mining algorithms, this paper will obtain the basic model of bank client value segmentation, which will provide the basis for effective prediction of high-value clients.

Suggested Citation

  • Hong-bo Wu & Ming-hui Guan, 2013. "Segmentation of the Bank Client Value Based on Fuzzy Data Mining," Springer Books, in: Runliang Dou (ed.), Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012), edition 127, chapter 0, pages 569-582, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-33012-4_56
    DOI: 10.1007/978-3-642-33012-4_56
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