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	A Novel Enterprise Credit Scoring Method Based On Random Forest
	Wu Jing ; Dong Huailin ; Wu Qingfeng ; Wang Wei ; Maoqing, LI ; Wu QF(吴清锋)
	2008
关键词	PREDICTION
英文摘要	In this paper we propose a new method for enterprise credit scoring model. The proposed method is based on Random Forest. Recently, with the development of economy, enterprise credit scoring system play an increasingly important role in economic activities. The Commercial bank makes the decision according to the appraisal enterprise's credit correctly. In this paper, a new method proposed to evaluate the enterprise's credit with Random Forest that makes use of ensemble learning for the decision trees. Compared to the ANN, SVM and CART, the experimental result demonstrate the method we proposed is a efficient data mining technique in clustering date and extraction rules from date and also enhance the accuracy of enterprise credit scoring. The proposed method is successfully applied in the enterprise credit scoring model.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/64896]
专题	软件学院－已发表论文
推荐引用方式 GB/T 7714	Wu Jing,Dong Huailin,Wu Qingfeng,et al. A Novel Enterprise Credit Scoring Method Based On Random Forest[J],2008.
APA	Wu Jing,Dong Huailin,Wu Qingfeng,Wang Wei,Maoqing, LI,&吴清锋.(2008).A Novel Enterprise Credit Scoring Method Based On Random Forest..
MLA	Wu Jing,et al."A Novel Enterprise Credit Scoring Method Based On Random Forest".(2008).

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