Case-based reasoning
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
When Experience Is Wrong: Examining CBR for Changing Tasks and Environments
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Probabilistic Indexing for Case-Based Prediction
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
SIAM Journal on Discrete Mathematics
Credible Case-Based Inference Using Similarity Profiles
IEEE Transactions on Knowledge and Data Engineering
When Similar Problems Don't Have Similar Solutions
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering
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
Evaluation Measures for TCBR Systems
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Robust Measures of Complexity in TCBR
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
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Most of the recent literature on complexity measures in textual case-based reasoning examined alignment between problem space and solution space, which used to be an issue of formulating CBR hypothesis. However, none of existing complexity measures could dispel the specter of predefined class label that does not appear in public textual datasets available, or clarify the correctness of the proposed solutions in the retrieved cases most similar to a target problem. This paper presented a novel alignment measure to circumvent these difficulties by calculating rank correlation between most similar case rankings in problem space and most similar case rankings in solution space. We also examined how to utilize existing alignment measures for textual case retrieval and textual case base maintenance. Empirical evaluation on Aviation Investigation Reports from Transportation Safety Board of Canada showed that rank correlation alignment measure might become a promising method for case-based non-classification systems.