A Decision Tree Scoring Model Based on Genetic Algorithm and K-means Algorithm

CORC > 厦门大学 > 信息技术－已发表论文

	A Decision Tree Scoring Model Based on Genetic Algorithm and K-means Algorithm
	Zhang, Defu ; Zhang DF(张德富) ; Leung, Stephen C. H. ; Ye, Zhimei
刊名	http://dx.doi.org/10.1109/ICCIT.2008.110
	2008
关键词	SUPPORT VECTOR MACHINES MINING APPROACH CREDIT
英文摘要	Credit scoring has been regarded as a critical topic and studied extensively in the finance field. Many artificial intelligence techniques have been used to solve credit scoring. The paper is to build a classification model based on a decision tree by learning historical data. Clustering algorithm and genetic algorithm are combined to further improve the accuracy of this credit scoring model. The clustering algorithm aims at removing noise data, while the genetic algorithm is used to reduce the redundancy attribute of data. The computational results on the two real world benchmark data sets show that the presented hybrid model is efficient.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/70908]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Zhang, Defu,Zhang DF,Leung, Stephen C. H.,et al. A Decision Tree Scoring Model Based on Genetic Algorithm and K-means Algorithm[J]. http://dx.doi.org/10.1109/ICCIT.2008.110,2008.
APA	Zhang, Defu,张德富,Leung, Stephen C. H.,&Ye, Zhimei.(2008).A Decision Tree Scoring Model Based on Genetic Algorithm and K-means Algorithm.http://dx.doi.org/10.1109/ICCIT.2008.110.
MLA	Zhang, Defu,et al."A Decision Tree Scoring Model Based on Genetic Algorithm and K-means Algorithm".http://dx.doi.org/10.1109/ICCIT.2008.110 (2008).