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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.

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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