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ALFS An Inductive Learning Algorithm

ALFS An Inductive Learning Algorithm 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

ALFS An Inductive Learning Algorithm

Cios, Krzysztof J.; Moraes, Ian
Kybernetes , Volume 20 (3): 12 – Mar 1, 1991
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References (5)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0368-492X
DOI
10.1108/eb005885
Publisher site
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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.

Journal

Kybernetes – Emerald Publishing

Published: Mar 1, 1991

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