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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:261-274
关键词Data mining Classification Multi-criteria linear programming Credit cardholders' behavior Sas algorithms
ISSN号0254-5330
DOI10.1007/s10479-005-6245-5
通讯作者Shi, y(yshi@unomaha.edu)
英文摘要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.
WOS关键词DISCRIMINANT-ANALYSIS ; MODELS
WOS研究方向Operations Research & Management Science
WOS类目Operations Research & Management Science
语种英语
WOS记录号WOS:000228973500014
出版者SPRINGER
URI标识http://www.irgrid.ac.cn/handle/1471x/2377400
专题中国科学院大学
通讯作者Shi, Y
作者单位1.Univ Nebraska, Coll Informat Sci & Technol, Omaha, NE 68182 USA
2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
3.First Natl Bank Omaha, Omaha, NE 68197 USA
4.Chinese Acad Sci, Inst Policy & Management, Beijing 100080, Peoples R China
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):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),261-274.
MLA Kou, G,et al."Discovering credit cardholders' behavior by multiple criteria linear programming".Annals of operations research 135.1(2005):261-274.

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来源:中国科学院大学

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