Case-based reasoning
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Troubleshooting CFM 56-3 Engines for the Boeing 737 - Using CBR and Data-Mining
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Discovering Case Knowledge Using Data Mining
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Techniques and Knowledge Used for Adaptation During Case-Based Problem Solving
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
Is CBR a Technology or a Methodology?
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
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This paper proposes an algorithm to acquire adaptation knowledge through case comparison in order to extract connoted knowledge that is contained in cases. To acquire adaptation knowledge from cases in case base, comparable cases are selected. This paper also propose a similarity method for the selection of comparable cases.For simulation, the case of deciding automobile price is considered to look into how much the acquired adaptation rules through case comparison are effective in improving the precision of problem solving. Simulation results show that a system using the extracted adaptation knowledge provided higher precision of solution than a system supporting only case extraction, and even when the loss value of case attributes and case solutions were inaccurate, the acquired adaptation rules could improve the precision.