Case-based planning: selected methods and systems
AI Communications - Special issue on ECAI-96 Budapest
Continuous case-based reasoning
Artificial Intelligence
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Retrieval, reuse, revision and retention in case-based reasoning
The Knowledge Engineering Review
Improving system performance in case-based iterative optimization through knowledge filtering
IJCAI'95 Proceedings of the 14th international joint conference on Artificial 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
Case based representation and retrieval with time dependent features
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
An approach for temporal case-based reasoning: episode-based reasoning
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Continuous domains are domains where cases are generated from a continuous data stream. In these domains, a lot of cases are continuously solved and learned by a CBR system. This means that many cases could be stored in the case library. Thus the efficiency of the CBR system both in size and time could be deeply worsened. In this research work a dynamic adaptive case library (DACL) is proposed. It is able to adapt itself to dynamic environments by means of a set of dynamic clusters of cases and a discriminant tree associated to each cluster. The prototype of a cluster is called a Meta-Case. The aim is to get an optimal and competent case library that works efficiently in a continuous domain. In this paper, the improvement of time efficiency in the retrieval step has been evaluated by means of testing several data bases. The result shows a good improvement using the proposed DACL approach.