Instance-Based Learning Algorithms
Machine Learning
A Nearest Hyperrectangle Learning Method
Machine Learning
Control-Sensitive Feature Selection for Lazy Learners
Artificial Intelligence Review - Special issue on lazy learning
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
Inside Case-Based Reasoning
Inducing Partially-Defined Instances with Evolutionary Algorithms
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Remembering Why to Remember: Performance-Guided Case-Base Maintenance
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Speed-Up, Quality and Competence in Multi-modal Case-Based Reasoning
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Building Compact Competent Case-Bases
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Rough Sets Reduction Techniques for Case-Based Reasoning
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Remembering to add: competence-preserving case-addition policies for case-base maintenance
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Remembering to forget: a competence-preserving case deletion policy for case-based reasoning systems
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Prototype induction and attribute selection via evolutionary algorithms
Intelligent Data Analysis
Case base reduction using solution-space metrics
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Noise reduction for instance-based learning with a local maximal margin approach
Journal of Intelligent Information Systems
Rough set based approaches to feature selection for Case-Based Reasoning classifiers
Pattern Recognition Letters
Adaptive case-based reasoning using retention and forgetting strategies
Knowledge-Based Systems
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Early workon case based reasoning reported in the literature shows the importance of case base maintenance for successful practical systems. Different criteria to the maintenance task have been used for more than half a century. In this paper we present different sort out techniques for case base maintenance. All the sort out techniques proposed are based on the same principle: a Rough Sets competence model. First of all, we present sort out reduction techniques based on deletion of cases. Next, we present sort out techniques that build new reduced competent case memories based on the original ones. The main purpose of these methods is to maintain the competence and reduce, as much as possible, its size. Experiments using different domains, most of them from the UCI repository, show that the reduction techniques maintain the competence obtained by the original case memory. The results are analysed with those obtained using well-known reduction techniques.