Knowledge Acquisition and Machine Learning

Theory, Methods, and Applications

By
  • Katharina Morik, Universitat Dortmund
  • Stefan Wrobel, GMD
  • Jorg-Uwe Kietz, GMD
  • Werner Emde, GMD

Hardbound, 305 Pages

Published: August 1993

Imprint: Academic Press

ISBN: 978-0-12-506230-5

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.

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