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ICCBR
2007
Springer

From Anomaly Reports to Cases

13 years 9 months ago
From Anomaly Reports to Cases
Abstract. Creating case representations in unsupervised textual case-based reasoning applications is a challenging task because class knowledge is not available to aid selection of discriminatory features or to evaluate alternative system design configurations. Representation is considered as part of the development of a tool, called CAM, which supports an anomaly report processing task for the European Space Agency. Novel feature selection/extraction techniques are created which consider word co-occurrence patterns to calculate similarity between words. These are used together with existing techniques to create 5 different case representations. A new evaluation technique is introduced to compare these representations empirically, without the need for expensive, domain expert analysis. Alignment between the problem and solution space is measured at a local level and profiles of these local alignments used to evaluate the competence of the system design.
Stewart Massie, Nirmalie Wiratunga, Susan Craw, Al
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICCBR
Authors Stewart Massie, Nirmalie Wiratunga, Susan Craw, Alessandro Donati, Emmanuel Vicari
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