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Building Compact Competent Case-Bases

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Case-Based Reasoning Research and Development (ICCBR 1999)

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Abstract

Case-based reasoning systems solve problems by reusing a corpus of previous problem solving experience stored as a case-base of individual problem solving cases. In this paper we describe a new technique for constructing compact competent case-bases. The technique is novel in its use of an explicit model of case competence. This allows cases to be selected on the basis of their individual competence contributions. An experimental study shows how this technique compares favorably to more traditional strategies across a range of standard data-sets.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University College Dublin, Belfield, Dublin 4, IRELAND

    Barry Smyth & Elizabeth McKenna

Authors
  1. Barry Smyth
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  2. Elizabeth McKenna
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Editor information

Editors and Affiliations

  1. Fraunhofer Institute for Experimental Software Engineering (IESE), Sauerwiesen 6, D 67661, Kaiserslautern, Germany

    Klaus-Dieter Althoff

  2. Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, D 67653, Kaiserslautern, Germany

    Ralph Bergmann

  3. Department of Computer Science, University of Wyoming, P.O. Box 3682, Laramie, WY, 82072, USA

    L.Karl Branting

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© 1999 Springer-Verlag Berlin Heidelberg

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Smyth, B., McKenna, E. (1999). Building Compact Competent Case-Bases. In: Althoff, KD., Bergmann, R., Branting, L. (eds) Case-Based Reasoning Research and Development. ICCBR 1999. Lecture Notes in Computer Science, vol 1650. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48508-2_24

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  • DOI: https://doi.org/10.1007/3-540-48508-2_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66237-2

  • Online ISBN: 978-3-540-48508-7

  • eBook Packages: Springer Book Archive

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