Article 21041 of comp.ai:
Xref: glinda.oz.cs.cmu.edu comp.ai:21041
From: trooster@jjt.iaf.nl (Joris Trooster)
Path: honeydew.srv.cs.cmu.edu!fs7.ece.cmu.edu!europa.eng.gtefsd.com!howland.reston.ans.net!pipex!uknet!EU.net!sun4nl!iafnl.iaf.nl!jjt!trooster
Newsgroups: comp.ai
Subject: Induction algorithms
Message-ID: <763361468.AA01243@jjt.iaf.nl>
Distribution: world
Date: Thu, 10 Mar 1994 20:34:00
X-FTN-To: Greg Peters
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Hello Greg,

On Monday March 07 1994 (17:58) Greg Peters wrote:

 GP> I am looking for references describing the various induction algorithms,
 GP> especially ID3, AQ11, and OC1.  If anyone could direct me to some
 GP> references describing their uses and differences it would be greatly
 GP> appreciated.

For ID3 you can refer to:

Quinlan, J.R., 'Discovering Rules by Induction from Large Collections of
Examples', in Expert Systems in the Micro-electronic Age (ed. Michie, D.),
Edinburgh University Press, Edinburgh, 1979.

Quinlan, J.R., 'Semi-Autonomous Acquisition of Pattern-Based Knowledge', in
Introductory Readings in Expert Systems (Ed. Michie, D.), New York, Gordon
and Breach Science Publishers, 1982.

The AQ11 algorithm is described and used in the following interesting
article:

Michalski, R.S.; Chilausky, R.L., 'Knowledge acquisition by encoding expert
rules versus computer induction from examples', Int. J. Man-Machine Studies
(1980) 12, pp.63-87.

I've some other articles in the field of biomedical engineering refering to
ID3 (for detecting gait events in Functional Electrical Stimulation systems).

Joris Trooster
Student Electrical Engineering
University of Twente
The Netherlands.