Principles of data mining
Inside Case-Based Reasoning
Learning to Adapt for Case-Based Design
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Learning Adaptation Rules from a Case-Base
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Using case-base data to learn adaptation knowledge for design
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Handbook on Ontologies
Acquiring case adaptation knowledge: a hybrid approach
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Mining Large-Scale Knowledge Sources for Case Adaptation Knowledge
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Failure Analysis for Domain Knowledge Acquisition in a Knowledge-Intensive CBR System
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Opportunistic Acquisition of Adaptation Knowledge and Cases -- The IakA Approach
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Using Case Provenance to Propagate Feedback to Cases and Adaptations
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Knowledge Planning and Learned Personalization for Web-Based Case Adaptation
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Representing Case Variations for Learning General and Specific Adaptation Rules
Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium
Opportunistic Adaptation Knowledge Discovery
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Four Heads Are Better than One: Combining Suggestions for Case Adaptation
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
First elements on knowledge discovery guided by domain knowledge (KDDK)
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Why and how knowledge discovery can be useful for solving problems with CBR
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
A general introspective reasoning approach to web search for case adaptation
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Enhancing case adaptation with introspective reasoning and web mining
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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In case-based reasoning, the adaptation of a source case in order to solve the target problem is at the same time crucial and difficult to implement. The reason for this difficulty is that, in general, adaptation strongly depends on domain-dependent knowledge. This fact motivates research on adaptation knowledge acquisition (AKA). This paper presents an approach to AKA based on the principles and techniques of knowledge discovery from databases and data-mining. It is implemented in CABAMAKA, a system that explores the variations within the case base to elicit adaptation knowledge. This system has been successfully tested in an application of case-based reasoning to decision support in the domain of breast cancer treatment.