Classifications of credit cardholder behavior by using multiple criteria non-linear programming
He, J; Shi, Y; Xu, WX
发表期刊DATA MINING AND KNOWLEDGE MANAGEMENT
摘要Behavior analysis of credit cardholders is one of the main research topics in credit card portfolio management. Usually, the cardholder's behavior, especially bankruptcy, is measured by a score of aggregate attributes that describe cardholder's spending history. In the real-life practice, statistics and neural networks are the major players to calculate such a score system for prediction. Recently, various multiple criteria linear programming based classification methods have been explored for analyzing credit cardholders' behavior. This paper proposes a multiple criteria non-linear programming (MCNP) approach to discovering the bankruptcy patterns of credit cardholders. A real-life credit database from a major US bank is used for empirical study on MCNP classification. Finally, the comparison of MCNP and other known classification methods is conducted to verify the validation of MCNP method.
2004
卷号3327期号:1页码:10,154-163
ISSN0302-9743
学科领域Computer Science ; Information Systems ; Artificial Intelligence ; Computer Science
收录类别SCI
语种英语
WOS记录号WOS:000227493600017
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被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.casisd.cn/handle/190111/5177
专题中国科学院科技政策与管理科学研究所(1985年6月-2015年12月)
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He, J,Shi, Y,Xu, WX. Classifications of credit cardholder behavior by using multiple criteria non-linear programming[J]. DATA MINING AND KNOWLEDGE MANAGEMENT,2004,3327(1):10,154-163.
APA He, J,Shi, Y,&Xu, WX.(2004).Classifications of credit cardholder behavior by using multiple criteria non-linear programming.DATA MINING AND KNOWLEDGE MANAGEMENT,3327(1),10,154-163.
MLA He, J,et al."Classifications of credit cardholder behavior by using multiple criteria non-linear programming".DATA MINING AND KNOWLEDGE MANAGEMENT 3327.1(2004):10,154-163.
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