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A Tool for Study of Optimal Decision Trees
Conference proceeding   Peer reviewed

A Tool for Study of Optimal Decision Trees

Abdulaziz Alkhalid, Igor Chikalov and Mikhail Moshkov
ROUGH SET AND KNOWLEDGE TECHNOLOGY (RSKT), Vol.6401, pp.353-360
Lecture Notes in Artificial Intelligence
01/01/2010
DOI: https://doi.org/10.1007/978-3-642-16248-0_51

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Theory & Methods Science & Technology Technology
The paper describes a tool which allows us for relatively small decision tables to make consecutive optimization of decision trees relative to various complexity measures such as number of nodes, average depth, and depth, and to find parameters and the number of optimal decision trees.

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