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Principles of induction and approaches to attribute based induction

Published online by Cambridge University Press:  07 July 2009

G. Kalkanis  and
G. V. Conroy
G. Kalkanis
Affiliation:
Department of Computation, University of Manchester Institute of Science and Technology, Manchester M60 1QD, UK
G. V. Conroy
Affiliation:
Department of Computation, University of Manchester Institute of Science and Technology, Manchester M60 1QD, UK
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Abstract

This paper presents a survey of machine induction, studied mainly from the field of artificial intelligence, but also from the fields of pattern recognition and cognitive psychology. The paper consists of two parts: Part I discusses the basic principles and features of the machine induction process; Part II uses these principles and features to review and criticize the major supervised attribute-based induction methods. Attribute-based induction has been chosen because it is the most commonly used inductive approach in the development of expert systems and pattern recognition models.

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Type
Research Article
Information
The Knowledge Engineering Review , Volume 6 , Issue 4 , December 1991 , pp. 307 - 333
Copyright
Copyright © Cambridge University Press 1991

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