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2000
Springer

Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory

11 years 9 months ago
Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory
Abstract. Today’s case based reasoning applications face several challenges. In a typical application, the case bases grow at a very fast rate and their contents become increasingly diverse, making it necessary to partition a large case base into several smaller ones. Their users are overloaded with vast amounts of information during the retrieval process. These problems call for the development of effective case-base maintenance methods. As a result, many researchers have been driven to design sophisticated case-base structures or maintenance methods. In contrast, we hold a different point of view: we maintain that the structure of a case base should be kept as simple as possible, and that the maintenance method should be as transparent as possible. In this paper we propose a case-base maintenance method that avoids building sophisticated structures around a case base or perform complex operations on a case base. Our method partitions cases into clusters where the cases in the sam...
Qiang Yang, Jing Wu
Added 01 Aug 2010
Updated 01 Aug 2010
Type Conference
Year 2000
Where AI
Authors Qiang Yang, Jing Wu
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