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Discovering credit cardholders' behavior by multiple criteria linear programming

文献类型:期刊论文

作者Kou, G ; Peng, Y ; Shi, Y ; Wise, M ; Xu, WX
刊名ANNALS OF OPERATIONS RESEARCH
出版日期2005
卷号135期号:1页码:14,261-274
关键词data mining classification multi-criteria linear programming credit cardholders' behavior SAS algorithms
ISSN号0254-5330
中文摘要In credit card portfolio management, predicting the cardholders spending behavior is a key to reduce the risk of bankruptcy. Given a set of attributes for major aspects of credit cardholders and predefined classes for spending behaviors, this paper proposes a classification model by using multiple criteria linear programming to discover behavior patterns of credit cardholders. It shows a general classification model that can theoretically handle any class-size. Then, it focuses on a typical case where the cardholders behaviors are predefined as four classes. A dataset from a major US bank is used to demonstrate the applicability of the proposed method.
学科主题Operations Research & Management Science
收录类别SCI
语种英语
WOS记录号WOS:000228973500014
公开日期2012-11-12
源URL[http://ir.casipm.ac.cn/handle/190111/5008]  
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)
推荐引用方式
GB/T 7714
Kou, G,Peng, Y,Shi, Y,et al. Discovering credit cardholders' behavior by multiple criteria linear programming[J]. ANNALS OF OPERATIONS RESEARCH,2005,135(1):14,261-274.
APA Kou, G,Peng, Y,Shi, Y,Wise, M,&Xu, WX.(2005).Discovering credit cardholders' behavior by multiple criteria linear programming.ANNALS OF OPERATIONS RESEARCH,135(1),14,261-274.
MLA Kou, G,et al."Discovering credit cardholders' behavior by multiple criteria linear programming".ANNALS OF OPERATIONS RESEARCH 135.1(2005):14,261-274.

入库方式: OAI收割

来源:科技战略咨询研究院

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