Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Information Retrieval
Machine Learning
Conversational Case-Based Reasoning
Applied Intelligence
Interactive Case-Based Reasoning in Sequential Diagnosis
Applied Intelligence
Machine Learning
A Dynamic Approach to Reducing Dialog in On-Line Decision Guides
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
minimizing dialog length in interactive case-based reasoning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
A Generalised Approach to Similarity-Based Retrieval in Recommender Systems
Artificial Intelligence Review
Horizontal Case Representation
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
What evaluation criteria are right for CCBR? considering rank quality
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Case-based reasoning in comparative effectiveness research
IBM Journal of Research and Development
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Often in interactive case-based reasoning (CBR), the case library is irreducible in the sense that the deletion of a single case means that a unique product or fault is no longer represented in the case library. We present empirical measures of precision and recall for irreducible case libraries, identify sources of imperfect precision and recall, and establish an upper bound for the level of precision that can be achieved with any retrieval strategy. Finally, we present a retrieval strategy for irreducible case libraries that gives better precision and recall than inductive retrieval or nearest-neighbour retrieval based on the number of matching features in a target case.