Cart (Loading....) | Create Account
Close category search window
 

Solving the fragmentation problem of decision trees by discovering boundary emerging patterns

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
$31 $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

2 Author(s)
Jinyan Li ; Labs. for Inf. Technol., Singapore, Singapore ; Limsoon Wong

The single coverage constraint discourages a decision tree to contain many significant rules. The loss of significant rules leads to a loss in accuracy. On the other hand, the fragmentation problem causes a decision tree to contain too many minor rules. The presence of minor rules decreases the accuracy. We propose to use emerging patterns to solve these problems. In our approach, many globally significant rules can be discovered. Extensive expert. mental results on gene expression datasets show that our approach are more accurate than single C4.5 trees, and are also better than bagged or boosted C4.5 trees.

Published in:

Data Mining, 2002. ICDM 2003. Proceedings. 2002 IEEE International Conference on

Date of Conference:

2002

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.