A New Approach Based on a Rough Set and a Decision Tree to Bank Customer Credit Evaluation

摘要：

This paper proposes a new approach to Customer Credit Evaluation by synthesizing the Rough Set Theory and Decision Tree Theory. It adopts and improves a algorithm while applying the rough set theory in attribute reduction. It also applies the C4.5 Algorithm proposed by Quinlan to build a decision tree model and adjusts relevant parameters during tree pruning period. Experimental results show that the approach has a better performance in terms of efficiency as well as prediction accuracy.

作者: Yi Jiang XiYue Zhou Defu Zhang

作者单位: Department of Computer Science,Xiamen University,Xiamen,361005,China

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 61-65

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）