C4.5: programs for machine learning
C4.5: programs for machine learning
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Interactive Case-Based Reasoning in Sequential Diagnosis
Applied Intelligence
An Expressive Query Language for Product Recommender Systems
Artificial Intelligence Review
Compound Critiques for Conversational Recommender Systems
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Introduction to the Special Issue on Explanation in Case-Based Reasoning
Artificial Intelligence Review
Explanation in Case-Based Reasoning---Perspectives and Goals
Artificial Intelligence Review
A Case-Based Explanation System for Black-Box Systems
Artificial Intelligence Review
Artificial Intelligence Review
Intelligent information processing II
A brief historical review of explanation in expert system applications
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Case Provenance: The Value of Remembering Case Sources
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
An Analysis of Research Themes in the CBR Conference Literature
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Gaining insight through case-based explanation
Journal of Intelligent Information Systems
A Scalable Noise Reduction Technique for Large Case-Based Systems
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
The adaptive web
Explanations and context in ambient intelligent systems
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Noise reduction for instance-based learning with a local maximal margin approach
Journal of Intelligent Information Systems
Rule extraction from support vector machines: A review
Neurocomputing
Taking advice from intelligent systems: the double-edged sword of explanations
Proceedings of the 16th international conference on Intelligent user interfaces
The best way to instil confidence is by being right
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Cases, context, and comfort: opportunities for case-based reasoning in smart homes
Designing Smart Homes
Reutilization of diagnostic cases by adaptation of knowledge models
Engineering Applications of Artificial Intelligence
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One of the perceived benefits of Case-Based Reasoning (CBR) is the potential to use retrieved cases to explain predictions. Surprisingly, this aspect of CBR has not been much researched. There has been some early work on knowledge-intensive approaches to CBR where the cases contain explanation patterns (e.g. SWALE). However, a more knowledge-light approach where the case similarity is the basis for explanation has received little attention. To explore this, we have developed a CBR system for predicting blood-alcohol level. We compare explanations of predictions produced by this system with alternative rule-based explanations. The case-based explanations fare very well in this evaluation and score significantly better than the rule-based alternative.