Segmentation of the Bank Client Value Based on Fuzzy Data Mining

Hong-bo Wu and Ming-hui Guan ()
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Hong-bo Wu: Harbin University of Science and Technology
Ming-hui Guan: Harbin University of Science and Technology

Chapter Chapter 56 in Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012), 2013, pp 569-582 from Springer

Abstract: 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.

Keywords: Fuzzy data mining; Customer value; Evaluation system (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-33012-4_56

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DOI: 10.1007/978-3-642-33012-4_56

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