中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improving clustering analysis for credit card accounts classification

文献类型:期刊论文

作者Peng, Y; Kou, G; Shi, Y; Chen, ZX
刊名Computational science - iccs 2005, pt 3
出版日期2005
卷号3516页码:548-553
关键词Credit card accounts classification Clustering analysis Cluto Unsupervised leaming method
ISSN号0302-9743
英文摘要In credit card portfolio management, predicting the cardholders' behavior is a key to reduce the charge off risk of credit card issuers. the most commonly used methods in predicting credit card defaulters are credit scoring models. most of these credit scoring models use supervised classification methods. although these methods have made considerable progress in bankruptcy prediction, they are unsuitable for data records without predefined class labels. therefore, it is worthwhile to investigate the applicability of unsupervised learning methods in credit card accounts classification. the objectives of this paper are: (1) to explore an unsupervised learning method: cluster analysis, for credit card accounts classification, (2) to improve clustering classification results using ensemble and supervised learning methods. in particular, a general purpose clustering toolkit, cluto, from university of minnesota, was used to classify a real-life credit card dataset and two supervised classification methods, decision tree and multiple-criteria linear programming (mclp), were used to improve the clustering results. the classification results indicate that clustering can be used to either as a stand-alone classification method or as a preprocess step for supervised classification methods.
WOS研究方向Computer Science
WOS类目Computer Science, Theory & Methods
语种英语
WOS记录号WOS:000230026200075
出版者SPRINGER-VERLAG BERLIN
URI标识http://www.irgrid.ac.cn/handle/1471x/2377352
专题中国科学院大学
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
推荐引用方式
GB/T 7714
Peng, Y,Kou, G,Shi, Y,et al. Improving clustering analysis for credit card accounts classification[J]. Computational science - iccs 2005, pt 3,2005,3516:548-553.
APA Peng, Y,Kou, G,Shi, Y,&Chen, ZX.(2005).Improving clustering analysis for credit card accounts classification.Computational science - iccs 2005, pt 3,3516,548-553.
MLA Peng, Y,et al."Improving clustering analysis for credit card accounts classification".Computational science - iccs 2005, pt 3 3516(2005):548-553.

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来源:中国科学院大学

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