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ALFS: An Inductive Learning Algorithm

Krzysztof J. Cios (University of Toledo, Toledo, Ohio, USA)
Ian Moraes (University of Toledo, Toledo, Ohio, USA)

Kybernetes

ISSN: 0368-492X

Article publication date: 1 March 1991

Abstract

ALFS is an inductive learning algorithm that employs feature selection to learn concepts from examples. Features which best represent and differentiate a subset from other subsets in learning data are detected and used to produce rules. These rules form a knowledge base for an expert system. The performance of ALFS is illustrated using data sets from the domains of primary tumour and game playing.

Keywords

Citation

Cios, K.J. and Moraes, I. (1991), "ALFS: An Inductive Learning Algorithm", Kybernetes, Vol. 20 No. 3, pp. 18-29. https://doi.org/10.1108/eb005885

Publisher

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MCB UP Ltd

Copyright © 1991, MCB UP Limited