A Rules-to-Trees Conversion in the Inductive Database System VINLEN

dc.contributor.author	Śnieżyński, Bartłomiej
dc.contributor.author	Michalski, Ryszard S.
dc.date.accessioned	2006-11-03T18:17:32Z
dc.date.available	2006-11-03T18:17:32Z
dc.date.issued	2005-06
dc.description.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.
dc.format.extent	1555 bytes
dc.format.extent	116187 bytes
dc.format.mimetype	text/xml
dc.format.mimetype	application/pdf
dc.identifier.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.
dc.identifier.uri	https://hdl.handle.net/1920/1493
dc.identifier.uri	https://doi.org/10.13021/MARS/3356
dc.language.iso	en_US
dc.relation.ispartofseries	P 05-4
dc.subject	Machine learning
dc.subject	Decision tree learning
dc.subject	Decision making
dc.subject	Inductive databases
dc.title	A Rules-to-Trees Conversion in the Inductive Database System VINLEN
dc.type	Presentation

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