Reusing past experiences by reasoning from past cases poses particular problems when the input to case retrieval comes from large amounts of online data. Volve has developed a system in which data from oil well drilling logs are continuously monitored, interpreted, and used to check if previous incidents exist that may predict an unwanted event to happen unless preventive actions are taken. The...

We present a CBR approach to musical playlist recommendation. A good playlist is not merely a bunch of songs, but a selected collection of songs, arranged in a meaningful sequence, e.g. a good DJ creates good playlists. Our CBR approach focuses on recommending new and meaningful playlists, i.e. selecting a collection of songs that are arranged in a meaningful sequence. In the proposed approach,...

Over the past few years, Case-Based Reasoning (CBR) has grown from a Yalecentric view of cognition to a solid sub-area that is supported by wide-spread academic research and industrial development. Unfortunately, the definition of what is and is not CBR remains seriously ambiguous. In this talk, I will look at different takes on CBR and suggest a definition that, oddly enough, doesn’t include t...

Case-Based Reasoning (CBR) is a recognised and well established method for building medical systems. In this paper, we identify strengths and weaknesses of CBR in medicine. System properties, divided into construction-oriented and purpose-oriented, are used as the basis for a survey of recent publications and research projects. The survey is used to find current trends in present medical CBR re...

Similarity-based retrieval of stored objects is one of the main building blocks of a case-based reasoning approach (CBR). Over the last three decades several sophisticated retrieval methods have been developed which are more suitable for many real-world scenarios than the traditional database search. However, the CBR approach and in particular the published retrieval methods do not support suff...

A new approach to separation process synthesis and selection of single separations is presented. The method is based on the reuse of existing design cases by case-based reasoning (CBR). CBR is a method for finding the most similar existing separation designs and for applying the knowledge of their concept to solve new problems. The method has previously been applied for selecting single separat...

Understanding of many complex biological systems is limited both by incomplete models and limited empirical data. Accurate prediction of the behavior of such systems requires exploitation of multiple, individually incomplete, knowledge sources. Model-based adaptation is a technique for integrating case-based reasoning with modelbased reasoning to predict the behavior of biological systems. This...

We describe using Case Based Reasoning to explore structure at the instance level as a means to distinguish whether to use CP or IP to solve instances of the Bid Evaluation Problem.

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