By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yi Jiang ; Department of Computer Science, Xiamen University, 361005, China ; 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