Retrieval strategies for case-based reasoning: a categorised bibliography

Authors:
Francisco Azuaje;Werner Dubitzky;Norman Black;Kenny Adamson
Affiliations:
Department of Computer Science, Trinity College, Dublin, Ireland.;German Cancer Research Centre, Intelligent Bioinformatics Systems, Heidelberg, Germany.;School of Information and Software Engineering, University of Ulster, Northern Ireland, UK.;School of Information and Software Engineering, University of Ulster, Northern Ireland, UK.
Venue:
The Knowledge Engineering Review
Year:
2000

Citing 65
Cited 2

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Learning a Local Similarity Metric for Case-Based Reasoning

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Towards using a Single Uniform Metric in Instance-Based Learning

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A Connectionist Indexing Approach for CBR Systems

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Integration Rules and Cases for the Classification Task

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Using a Neutral Network to Learn General Knowledge in a Case-Based System

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Similarity Metrics: A Formal Unification of Cardinal and Non-Cardinal Similarity Measures

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Wavelet Transform in Similarity Paradigm

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Improved heterogeneous distance functions

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Online image retrieval system (OIRS)

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Abstract

The retrieval of relevant cases plays a crucial role in case-based reasoning. There are three major methods for the retrieval of relevant cases: computational approaches (based upon measures of similarity), representational approaches (based upon indexing structures) and hybrid approaches. This paper looks at recent successful implementations of case retrieval with regard to this classification framework. Similarly it emphasises computational and representational models applied to feature-vector case representations.