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European Conference on Case-Based Reasoning

ECCBR 2004: Advances in Case-Based Reasoning pp 157–168Cite as

Explanation Oriented Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3155))

Abstract

This paper is based on the observation that the nearest neighbour in a case-based prediction system may not be the best case to explain a prediction. This observation is based on the notion of a decision surface (i.e. class boundary) and the idea that cases located between the target case and the decision surface are more convincing as support for explanation. This motivates the idea of explanation utility, a metric that may be different to the similarity metric used for nearest neighbour retrieval. In this paper we present an explanation utility framework and present detailed examples of how it is used in two medical decision-support tasks. These examples show how this notion of explanation utility sometimes select cases other than the nearest neighbour for use in explanation and how these cases are more convincing as explanations.

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References

  1. Armengol, E., Palaudàries, A., Plaza, E.: Individual Prognosis of Diabetes Longterm Risks: A CBR Approach. Methods of Information in Medicine. Special issue on prognostic models in Medicine 40, 46–51 (2001)

    Google Scholar 

  2. Aleven, V., Ashley, K.D.: Automated Generation of Examples for a Tutorial in Case-Based Argumentation. In: Frasson, C., McCalla, G.I., Gauthier, G. (eds.) ITS 1992. LNCS, vol. 608, pp. 575–584. Springer, Heidelberg (1992)

    Google Scholar 

  3. Ashley, K.D., McLaren, B.: Reasoning with reasons in case-based comparisons. In: Aamodt, A., Veloso, M.M. (eds.) ICCBR 1995. LNCS, vol. 1010, pp. 133–144. Springer, Heidelberg (1995)

    Chapter  Google Scholar 

  4. Brüninghaus, S., Ashley, K.D.: Combining Model-Based and Case-Based Reasoning for Predicting the Outcomes of Legal Cases. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS, vol. 2689, pp. 65–79. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Coyle, L., Doyle, D., Cunningham, P.: Representing Similarity for CBR in XML. To appear in 7th European Conference in Case-Based Reasoning (2004)

    Google Scholar 

  6. Cunningham, P., Doyle, D., Loughrey, J.: An Evaluation of the Usefulness of Case-Based Explanation. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS (LNAI), vol. 2689, pp. 122–130. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  7. Doyle, D., Loughrey, J., Nugent, C., Coyle, L., Cunningham, P.: FIONN: A Framework for Developing CBR Systems, to appear in Expert Update

    Google Scholar 

  8. Evans-Romaine, K., Marling, C.: Prescribing Exercise Regimens for Cardiac and Pulmonary Disease Patients with CBR. In: Workshop on CBR in the Health Sciences at 5th International Conference on Case-Based Reasoning (ICCBR 2003), Trondheim, Norway, June 24, pp. 45–62 (2003)

    Google Scholar 

  9. Kass, A.M., Leake, D.B.: Case-Based Reasoning Applied to Constructing Explanations. In: Kolodner, J. (ed.) Proceedings of 1988 Workshop on Case-Based Reasoning, pp. 190–208. Morgan Kaufmann, San Mateo (1988)

    Google Scholar 

  10. Leake, D.B.: CBR in Context: The Present and Future. In: Leake, D.B. (ed.) Case-Based Reasoning: Experiences, Lessons and Future Directions, pp. 3–30. MIT Press, Cambridge (1996)

    Google Scholar 

  11. Lenz, M., Burkhard, H.-D.: Case Retrieval Nets: Basic ideas and extensions. In: Görz, G., Hölldobler, S. (eds.) KI 1996. LNCS, vol. 1137, pp. 227–239. Springer, Heidelberg (1996)

    Google Scholar 

  12. McSherry, D.: Similarity and Compromise. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS (LNAI), vol. 2689, pp. 122–130. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  13. McSherry, D.: Explanation in Case-Based Reasoning: an Evidential Approach. In: Procceedings 8th UK Workshop on Case-Based Reasoning, pp. 47–55 (2003)

    Google Scholar 

  14. Osborne, H.R., Bridge, D.G.: A Case Base Similarity Framework. In: Smith, I., Faltings, B.V. (eds.) EWCBR 1996. LNCS (LNAI), vol. 1168, pp. 309–323. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  15. Ong, L.S., Shepherd, B., Tong, L.C., Seow-Choen, F., Ho, Y.H., Tang, L.C., Ho, Y.S., Tan, K.: The Colorectal Cancer Recurrence Support (CARES) System. Artificial Intelligence in Medicine 11(3), 175–188 (1997)

    Article  Google Scholar 

  16. Rahman, Y., Knape, T., Gargan, M., Power, G., Hederman, L., Wade, V., Nolan, J.J., Grimson, J.: e-Clinic: An electronic triage system in Diabetes Management through leveraging Information and Communication Technologies. Accepted for MedInfo 2004

    Google Scholar 

  17. Stahl, A., Gabel, T.: Using Evolution Programs to Learn Local Similarity Measures. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS, vol. 2689, pp. 537–551. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  18. Stahl, A.: Defining similarity measures: Top-down vs. Bottom-up. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, pp. 406–420. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Computer Science, Trinity College, Dublin 2, Ireland

    Dónal Doyle, Pádraig Cunningham & Yusof Rahman

  2. Computer Science, University College Cork, Cork, Ireland

    Derek Bridge

Authors
  1. Dónal Doyle
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  2. Pádraig Cunningham
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  3. Derek Bridge
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  4. Yusof Rahman
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Electronics, Mälardalen University, SE-72123, Västerås, Sweden

    Peter Funk

  2. Facultad de Informática, Universidad Complutense de Madrid, 28040, Madrid, Spain

    Pedro A. González Calero

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© 2004 Springer-Verlag Berlin Heidelberg

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Doyle, D., Cunningham, P., Bridge, D., Rahman, Y. (2004). Explanation Oriented Retrieval. In: Funk, P., González Calero, P.A. (eds) Advances in Case-Based Reasoning. ECCBR 2004. Lecture Notes in Computer Science(), vol 3155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28631-8_13

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  • DOI: https://doi.org/10.1007/978-3-540-28631-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22882-0

  • Online ISBN: 978-3-540-28631-8

  • eBook Packages: Springer Book Archive

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