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In CBR the design and selection of similarity measures is paramount. Selection can benefit from the use of exploratory visualisation- based techniques in parallel with techniques such as cross-validation ac- curacy comparison. In this paper we present the Case Base Topology Viewer (CBTV) which allows the application of different similarity mea- sures to a case base to be visualised so that system designers can explore the case base and the associated decision boundary space. We show, using a range of datasets and similarity measure types, how the idiosyncrasies of particular similarity measures can be illustrated and compared in CBTV allowing CBR system designers to make more informed choices.
MacNamee, B., Delany, S. (2010) CBTV: Visualising Case Bases for Similarity Measure Design and Selection. The International Conference on Case-based Reasoning (ICCBR) Alessandria,Italy, 19-22 July. doi:10.21427/D7BP53
Science Foundation Irealnd RFP
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