Skip to main content

An Experimental Study of Increasing Diversity for Case-Based Diagnosis

  • Conference paper
  • First Online:
Advances in Case-Based Reasoning (ECCBR 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2416))

Included in the following conference series:

Abstract

Increasing dversity for case-based reasoning (CBR) is an issue that has recently drawn the attention of researchers in the CBR field. Several diversification techniques have been proposed and discussed in the literature. However, whether and to what extent those techniques can bring about benefits to end-users remains in question. In this paper, we report an experiment in applying a diversification technique to a case-based diagnosis tool in a product maintenance domain. The results of this offer some evidence in support of diversification techniques.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bradley, K., Smyth, B.: Improving Recommendation Diversity. In: Proceedings of the Twelfth Irish Conference on Artificial Intelligence and Cognitive Science, Maynooth, Ireland (2001) 85–94

    Google Scholar 

  2. Coenen, F., Leng, P., Weaver, R., Zhang, W.: Integrated online support for field service engineers in a flexible manufacturing context. In: Applications and Innovations in Intelligent Systems VIII (Proc ES2000 Conference, Cambridge), eds A Macintosh, M Moulton and F Coenen, Springer, London, (2000) 141–152

    Google Scholar 

  3. Coenen, F., Leng, P., Zhang. L.: Flexible Field Service Support using Multiple Diagnostic Tools. In Proceedings of 5th IEEE International Conference on Intelligent Engineering Systems, (2001) 225–229

    Google Scholar 

  4. McSherry, D.: Increasing Recommendation Diversity Without Loss of Similarity. In: Proceedings of the Sixth UK CBR Workshop, 10 December (2001) 23–31

    Google Scholar 

  5. Smyth, B., Cotter, P.: A Personalised TV Listing Service for the Digital TV Age. Knowledge-Based Systems, 13 (2000) 53–59.

    Article  Google Scholar 

  6. Smyth, B., McClave, P.: Similarity vs. Diversity. In: Aha, D.W., Watson, I. (eds) Case-Based Reasoning Research and Development. LNAI, Vol. 2080. Springer-Verlag, Berlin Heidelberg (2001) 347–361

    Chapter  Google Scholar 

  7. Zhang, W., Coenen, F., Leng, P.,: On-Line Support for Field Service Engineers in a Flexible Manufacturing Environment: the Stoves Project. In: Proceedings of IeC’ 2000 Conference, Manchester (2000) 31–40

    Google Scholar 

  8. Zhang, L., Coenen, F., Leng, P.,: A Case Based Diagnostic Tool in a Flexible Manufacturing Context. In: Proceedings of the Sixth UK CBR Workshop, 10 December (2001) 61–69

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, L., Coenen, F., Leng, P. (2002). An Experimental Study of Increasing Diversity for Case-Based Diagnosis. In: Craw, S., Preece, A. (eds) Advances in Case-Based Reasoning. ECCBR 2002. Lecture Notes in Computer Science(), vol 2416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46119-1_33

Download citation

  • DOI: https://doi.org/10.1007/3-540-46119-1_33

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44109-0

  • Online ISBN: 978-3-540-46119-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics