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...

• Type: Conference
• Year: 2000
• Where: AI
• Authors: Qiang Yang, Jing Wu
• Keywords: AI 2000, Artificial Intelligence, Case Bases, Case-base Maintenance Method, Maintenance Method