Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

A computational study of using genetic algorithms to develop intelligent decision trees

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.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)

Decision tree algorithms have been widely used in dealing with data mining problems. However, scalability and efficiency are significant concerns in the implementation. We propose an innovative evolutionary computation approach combining statistical sampling, a genetic algorithm and a decision tree, to develop intelligent decision trees that alleviates some of these problems. Computational results show that our approach can obtain significantly better decision trees at lower sampling levels than the standard decision tree algorithm

Published in:

Evolutionary Computation, 2001. Proceedings of the 2001 Congress on  (Volume:2 )

Date of Conference:

2001