Expert Systems with Applications: An International Journal
An ontology-based similarity measurement for problem-based case reasoning
Expert Systems with Applications: An International Journal
Desiging robot services with ontology and learning
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Ontology - supported machine learning and decision support in biomedicine
DILS'07 Proceedings of the 4th international conference on Data integration in the life sciences
Engineering Applications of Artificial Intelligence
TaskCBP: an intelligent agent for task planning in elderly care
International Journal of Computational Intelligence in Bioinformatics and Systems Biology
A new similarity measure in formal concept analysis for case-based reasoning
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A new case-based classification using incremental concept lattice knowledge
Data & Knowledge Engineering
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A case in case-based reasoning is a contextualized piece of experience, which can be represented in various forms. Traditional approaches can be classified into three main categories: feature vector representations, structured representations, and textual representations. More sophisticated approaches make use of hierarchical representations or generalized cases. For particular tasks such as design and planning highly specific representations have been developed.