The central task for experience management is the retrieval of reusable experience. This
retrieval task requires additional knowledge besides the experience itself. It requires …

In just few years, case-based reasoning has evolved from a research topic studied at a small
number of specialized academic labs into an industrial-strength technology applied in …

Case-based reasoning is a methodology with a long tradition in artificial intelligence that
brings together reasoning and machine learning techniques to solve problems based on …

Experience with the growing number of large‐scale and long‐term case‐based reasoning
(CBR) applications has led to increasing recognition of the importance of maintaining …

Case-based planning is an approach to planning where previous planning experience
provides guidance to solving new problems. Such a guidance can be extremely useful, or …

Case‐base maintenance is one of the most important issues for current research in case‐
based reasoning (CBR). In this article we propose an extended six‐step CBR cycle and …

The success of a Case Based Reasoning (CBR) system depends on the quality of case data
and the speed of the retrieval process that can be expensive in time especially when the …

This paper concerns one of intelligent computational techniques which is case based
reasoning (CBR) more particularly the case base maintenance (CBM). It aims to ensure the …

In the CBR literature from the past 25 years there is a considerable amount of research work
that makes use of cases that are subspaces of some representation space rather than points …

After fifteen years of CBR conferences, this paper sets out to examine the themes that have
evolved in CBR research as revealed by the implicit and explicit relationships between the …