Skip to main content

Case-base maintenance

  • 3 Machine Learning
  • Conference paper
  • First Online:
Tasks and Methods in Applied Artificial Intelligence (IEA/AIE 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1416))

Abstract

As case-based reasoning systems are deployed in real-world situations the issue of case maintenance becomes more and more critical. Uncontrolled case-base growth can cause serious performance problems as retrieval efficiency degrades and incorrect or inconsistent cases become increasingly difficult to detect. This paper surveys recent progress in the area of knowledge maintenance, and propose a novel, competence-based maintenance policy for case-based reasoning systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aha, D. & Breslow, L. (1997) Refining Conversational Case Libraries. Proceedings of the 2nd International Conference on Case-Based Reasoning. RI, USA.

    Google Scholar 

  2. Buntine, W. (1988) Generalised Subsumption and its Applications to Induction & Redundancy. Artificial Intelligence, 36(2), pp. 149–176.

    Google Scholar 

  3. Francis, A.G., & Ram, A. (1993) The Utility Problem in Case-Based Reasoning. CaseBased Reasoning: papers from the 1993 Workshop. AAAI Press (WS-93-O1).

    Google Scholar 

  4. Keller, M. R. (1987) Concept Learning in Context. Proceedings of the 4th International Workshop on Machine Learning, pp. 482–487.

    Google Scholar 

  5. Lieber, J. (1995) A Criterion of Comparison between two Case-Bases. Proceedings of the 2nd European Workshop on Case-Based Reasoning, pp. 87–100, France.

    Google Scholar 

  6. Markovitch, S. & Scott, P.D. (1993) Information Filtering. Selection mechanisms in Learning Systems. Machine Learning. 10, pp 113–151.

    Google Scholar 

  7. Minton, S. (1990) Qualitative Results Concerning the Utility of Explanation-Based Learning. Artificial Intelligence. 42, pp. 363–391.

    Google Scholar 

  8. O'Leary, D. E. (1993) Verification & Validation of Case-Based Systems. Expert Systems with Applications, 6, pp. 57–66.

    Google Scholar 

  9. Preece, A. D. (1992) Towards a Methodology for Evaluating Expert Systems. Expert Systems, 7(5), pp, 14–20

    Google Scholar 

  10. Racine, K. & Yang, Q. (1997) Maintaining Unstructured Case. Proceedings of the 2nd International Conference on Case Based Reasoning, pp. 553–564 RI, USA.

    Google Scholar 

  11. Smyth, B & Cunningham, P. (1996) The Utility Problem Analysed: A Case-Based Reasoning Perspective. Proceedings of the 3rd European Workshop on Case-Based Reasoning, pp. 392–399, Lausanne, Switzerland.

    Google Scholar 

  12. Smyth, B. & Keane, M. T. (1995) Remembering to Forget: A Competence Preserving Case Deletion Policy for CBR Systems. Proceedings of the 14th International Joint Conference on Artificial Intelligence, pp. 377–382. Canada.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Angel Pasqual del Pobil José Mira Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Smyth, B. (1998). Case-base maintenance. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds) Tasks and Methods in Applied Artificial Intelligence. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64574-8_436

Download citation

  • DOI: https://doi.org/10.1007/3-540-64574-8_436

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64574-0

  • Online ISBN: 978-3-540-69350-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics