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A new approach based on a rough set and a decision tree to bank customer credit evaluation

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3 Author(s)
Yi Jiang ; Dept. of Comput. Sci., Xiamen Univ., Xiamen ; Xiyue Zhou ; Defu Zhang

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 by Yuan Zhen, et al, (2005) 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.

Published in:

IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on

Date of Conference:

12-14 Dec. 2008