Credit scoring via PCALWM

CASISD OpenIR > 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)

	Credit scoring via PCALWM
	Li, JP; Xu, WX; Shi, Y
发表期刊	COMPUTATIONAL SCIENCE - ICCS 2005, PT 3
关键词	Credit Scoring Classification Principal Component Analysis
摘要	We have presented a principal component analysis linear-weighted model (PCALWM) for credit scoring in [5,6], this article is a further study on this model. We revised the application procedure in the credit scoring, and tested it by a larger real-life credit card dataset. In comparison with some well-known scores, the empirical results of the PCALWM can achieve a favorable KS distance. The study on some application features of this model in the credit decision-making shows that the model can help the credit issuers to select the best trade-off among the enterprise stratagem, marketing and credit risk management.
	2005
卷号	3516 期号:1 页码:8,531-538
ISSN	0302-9743
学科领域	Computer Science ; Theory & Methods
收录类别	SCI
语种	英语
WOS记录号	WOS:000230026200073
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.casisd.cn/handle/190111/5027
专题	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	Li, JP,Xu, WX,Shi, Y. Credit scoring via PCALWM[J]. COMPUTATIONAL SCIENCE - ICCS 2005, PT 3,2005,3516(1):8,531-538.
APA	Li, JP,Xu, WX,&Shi, Y.(2005).Credit scoring via PCALWM.COMPUTATIONAL SCIENCE - ICCS 2005, PT 3,3516(1),8,531-538.
MLA	Li, JP,et al."Credit scoring via PCALWM".COMPUTATIONAL SCIENCE - ICCS 2005, PT 3 3516.1(2005):8,531-538.

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文件名称/大小	文献类型	版本类型	开放类型	使用许可
Credit Scoring via P（271KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览