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Explanation Oriented Retrieval

  • Dónal Doyle
  • Pádraig Cunningham
  • Derek Bridge
  • Yusof Rahman
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Decision Boundary Utility Measure Oral Hypoglycaemic Agent Explanation Case Target Case 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Dónal Doyle
    • 1
  • Pádraig Cunningham
    • 1
  • Derek Bridge
    • 2
  • Yusof Rahman
    • 1
  1. 1.Computer ScienceTrinity CollegeDublin 2Ireland
  2. 2.Computer ScienceUniversity College CorkCorkIreland

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