An Augmentation Hybrid System for Document Classification and Rating

  • Richard Dazeley
  • Byeong-Ho Kang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3157)

Abstract

This paper introduces an augmentation hybrid system, referred to as Rated MCRDR. It uses Multiple Classification Ripple Down Rules (MCRDR), a simple and effective knowledge acquisition technique, combined with a neural network.

References

  1. 1.
    Dazeley, R., Kang, B.H.: Rated MCRDR: Finding non-Linear Relationships Between Classifications in MCRDR. In: 3rd International Conference on Hybrid Intelligent Systems, IOS Press, Melbourne (2003)Google Scholar
  2. 2.
    Joachims, T.: Text Categorization with Support Vector Machines: Learning with Many Relevant Features. In: Nédellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol. 1398, Springer, Heidelberg (1998)CrossRefGoogle Scholar
  3. 3.
    Kang, B.H.: Validating Knowledge Acquisition: Multiple Classification Ripple Down Rules. University of New South Wales, Sydney (1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Richard Dazeley
    • 1
    • 2
  • Byeong-Ho Kang
    • 1
    • 2
  1. 1.School of Computing, (Collaborative research project between both institutions.)University of TasmaniaHobartAustralia
  2. 2.Australian Technology ParkEveleigh

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