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
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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. |
入库方式: iSwitch采集
来源:中国科学院大学
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