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EWCBR
2004
Springer

Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions

14 years 5 months ago
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases, given full descriptions of the problem at hand, and situation assessment methods have been developed for formulating appropriate initial case descriptions. However, in real-world applications, attempting to determine all relevant features of a new problem before retrieval may be impractical or impossible. Consequently, how to guide retrieval based on partial problem descriptions is an important question for CBR. This paper examines the problem of assessing similarity in partially-described cases. It proposes a set of similarity assessment strategies for handling missing information, evaluates their performance and efficiency on sample data sets, and discusses their tradeoffs.
Steven Bogaerts, David B. Leake
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where EWCBR
Authors Steven Bogaerts, David B. Leake
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