Classifications of credit cardholder behavior by using multiple criteria non-linear programming
He, J; Shi, Y; Xu, WX
刊名DATA MINING AND KNOWLEDGE MANAGEMENT
2004
卷号3327期号:1页码:10,154-163
ISSN号0302-9743
英文摘要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.
学科主题Computer Science ; Information Systems ; Artificial Intelligence ; Computer Science
语种英语
WOS记录号WOS:000227493600017
公开日期2012-11-12
内容类型期刊论文
源URL[http://ir.casipm.ac.cn/handle/190111/5177]  
专题科技战略咨询研究院_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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GB/T 7714
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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