C4.5: programs for machine learning
C4.5: programs for machine learning
On Quality Measures for Case Base Maintenance
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
The Conflict Graph for Maintaining Case-Based Reasoning Systems
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
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The ultimate goal ofCBRapplications is to satisfy customers using this technology in their daily business. As one of the crucial issues in CBR for practical applications, maintenance is important to cope with demands changing over time. Reviewand restore are the two steps inCBR that deal with tasks of maintenance. In order to perform these tasks, we suggested case and case base properties, quality criteria, and restore operators in earlier publications. In this paper, we specify concrete performance measures that correspond to general customer requirements, and analyze the relations between these performance criteria, case properties, and restore operators. We present initial results on theoretical analyzes on these relations, and report on examples of experimental studies that indicate that the suggested case properties and the respective restore operators help to identify maintenance strategies in order to optimize performance of CBR systems over time.