@inproceedings{ef55e6867e3348789d16108fab1ec936,
title = "CBTV: Visualising case bases for similarity measure design and selection",
abstract = "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 accuracy comparison. In this paper we present the Case Base Topology Viewer (CBTV) which allows the application of different similarity measures 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.",
keywords = "CBR, similarity measures, exploratory visualisation, cross-validation accuracy comparison, Case Base Topology Viewer, datasets, decision boundary space",
author = "Namee, \{Brian Mac\} and Delany, \{Sarah Jane\}",
year = "2010",
doi = "10.1007/978-3-642-14274-1\_17",
language = "English",
isbn = "3642142737",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "213--227",
booktitle = "Case-Based Reasoning Research and Development - 18th International Conference on Case-Based Reasoning, ICCBR 2010, Proceedings",
note = "18th International Conference on Case-Based Reasoning, ICCBR 2010 ; Conference date: 19-07-2010 Through 22-07-2010",
}