Retrieval is a key phase in case-based reasoning (CBR), since it lays the foundation for the
overall effectiveness of CBR systems. Its aim is to retrieve useful cases that can be used to …

The knowledge stored in a case base is central to the problem solving of a case‐based
reasoning (CBR) system. Therefore, case‐base maintenance is a key component of …

Abstract Knowledge in a case-based reasoning (CBR) system is often more extensive than
simply the cases, therefore knowledge engineering may still be very demanding. This paper …

Case-based reasoning (CBR) is a type of problem solving technique which uses previous
cases to solve new, unseen and different problems. Although a larger number of cases in …

A significant problem for case-based reasoning (CBR) systems is determining the features to
use in judging case similarity for retrieval. We describe research that addresses the feature …

Assessing the similarity between cases is a key aspect of the retrieval phase in case-based
reasoning (CBR). In most CBR work, similarity is assessed based on feature value …

One of the key issues in Case-Based Reasoning (CBR) systems is the efficient retrieval of
cases when the case base is huge and/or it contains uncertainty and partial knowledge …

Retrieval of a set of cases similar to a new case is a problem common to a number of
machine learning approaches such as nearest neighbor algorithms, conceptual clustering …

Abstract Case Based Reasoning systems rely on competent case knowledge for effective
problem-solving. However, for many problem solving tasks, notably design, simple retrieval …

Retrieval is a very important stage in the case-based reasoning (CBR) process because it is
the critical foundation for the success of the CBR system. Its goal is to retrieve valuable …