ALFS: An Inductive Learning Algorithm
Krzysztof J. Cios
(University of Toledo, Toledo, Ohio, USA)
Ian Moraes
(University of Toledo, Toledo, Ohio, USA)
67
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
:MCB UP Ltd
Copyright © 1991, MCB UP Limited