Competence and Performance-Improving approach for maintaining Case-Based Reasoning Systems
Abir Smiti, Zied Elouedi · 2012
The competence and the performance of Case Based Reasoning (CBR) system depend on the quality of the case base (CB) and the speed of the retrieval process that can be costly in time especially when the number of cases gets bulky. To guarantee the system's quality, maintaining the contents of a CB becomes unavoidable. In this paper, we present a novel approach for automatically maintaining a CB to improve the competence and the performance of the CBR system. Our policy is mainly based on clustering and competence computing. We support our approach with empirical evaluation.