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

Application of information theory to the construction of efficient 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.

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

4 Author(s)

The problem of conversion of decision tables to decision trees is treated. In most cases, the construction of optimal decision trees is an NP-complete problem and, therefore, a heuristic approach to this problem is necessary. In this heuristic approach, an application of information theoretic concepts to construct efficient decision trees for decision tables which may include "don't care" entries is made. In contrast to most of the existing heuristic algorithms, this algorithm is systematic and is intuitively appealing from an information theoretic standpoint. The algorithm has low design complexity and yet provides near-optimal decision trees.

Published in:

Information Theory, IEEE Transactions on  (Volume:28 ,  Issue: 4 )

Date of Publication:

Jul 1982

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.