Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
An important focus of recent CBR research is on how to develop strategies for achieving compact, competent case-bases, as a way to improve the performance of CBR systems. However, ...
There are case-based recommender systems that generate personalized recommendations for users exploiting the knowledge contained in past recommendation cases. These systems assume ...
The Health Sciences provide a lively niche for case based reasoning applications. The main justification for this is that case based reasoning is a unique methodology in artificial...
Multiple disorders are a daily problem in medical diagnosis and treatment. However, case-based diagnosis handling multiple disorders is still a challenging task. Although case-bas...