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KNOWLEDGE ACQUISITION AND MACHINE LEARNING
Knowledge Acquisition and Machine Learning
Theory, Methods, and Applications
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By
Katharina Morik, Universitat Dortmund
Stefan Wrobel, GMD
Jorg-Uwe Kietz, GMD
Werner Emde, GMD

Contents
The Knowledge Acquisition Framework. The Knowledge Representation Environment. The Inference Im-2. The Sort Taxonomy. The Predicate Structure. Model-Driven Rule Discovery. Knowledge Revision. Concept Formation. Practical Experiences. Bibliography. Author Index. Name Index. Subject Index.

Bibliographic details
Hardbound, 305 pages, publication date: AUG-1993
ISBN-13: 978-0-12-506230-5
ISBN-10: 0-12-506230-3
Imprint: ACADEMIC PRESS

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GBP 69
EUR 80.95
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Last update: 15 Oct 2009
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