The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Modelling the Competence of Case-Bases
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Genetic Algorithms to Optimise CBR Retrieval
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
On Quality Measures for Case Base Maintenance
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Remembering Why to Remember: Performance-Guided Case-Base Maintenance
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Acquiring Customer Preferences from Return-Set Selections
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Learning Feature Weights from Case Order Feedback
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Dynamic refinement of feature weights using quantitative introspective learning
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Retrieval Failure and Recovery in Recommender Systems
Artificial Intelligence Review
Optimizing similarity assessment in case-based reasoning
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Application of a hybrid case-based reasoning approach in electroplating industry
Expert Systems with Applications: An International Journal
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Using evolution programs to learn local similarity measures
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Semantic spatial web services with case-based reasoning
W2GIS'06 Proceedings of the 6th international conference on Web and Wireless Geographical Information Systems
On the use of vocabulary knowledge for learning similarity measures
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
Applying case based reasoning approach in analyzing organizational change management data
ICDM'04 Proceedings of the 4th international conference on Advances in Data Mining: applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications
Intelligent product search with soft-boundary preference relaxation
Expert Systems with Applications: An International Journal
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Defining similarity measures is a crucial task when developing CBR applications. Particularly, when employing utility-based similarity measures rather than pure distance-based measures one is confronted with a difficult knowledge engineering task. In this paper we point out some problems of the state-of-the-art procedure to defining similarity measures. To overcome these problems we propose an alternative strategy to acquire the necessary domain knowledge based on a Machine Learning approach. To show the feasibility of this strategy several application scenarios are discussed and some results of an experimental evaluation for one of these scenarios are presented.