A Rules-to-Trees Conversion in the Inductive Database System VINLEN
Date
2005-06
Authors
Śnieżyński, Bartłomiej
Michalski, Ryszard S.
Journal Title
Journal ISSN
Volume Title
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Abstract
Decision trees and rules are completing methods of knowledge representation. Both have advantages in some applications. Algorithms that convert trees to rules are common. In the paper an algorithm that converts rules to decision tree and its implementation in inductive database VINLEN is presented.
Description
Keywords
Machine learning, Decision tree learning, Decision making, Inductive databases
Citation
Szydlo, T., Śnieżyński, B. and Michalski, R. S., "A Rules-to-Trees Conversion in the Inductive Database System VINLEN," Proceedings of the Intelligent Information Processing and Web Mining Conference, IIPWM 05, Gdansk, Poland, June 13-16, 2005.