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
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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). |
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