In a variety of reasoning tasks, even ones for which CBR seems ideally suited, a stand-alone CBR component may not prove adequate. First, the data available in system construction may be too raw or noisy for direct processing and may require sophisticated reasoning before it is in a form suitable for CBR. Second, capacity demands and other run-time constraints may prohibit a straight CBR module...

Cognition based model of CBR technique is considered as significant approach in developing decision support tools. In the field of medical science the utilization of CBR technique during diagnosis and treatment suggestion has become very famous. CBR approach allows clinicians to solve problems using past experiences related to current situation. In this paper we present a brief overview of CBR ...

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 maintaining a CBR system. However, other knowledge sources, such as indexing and similarity knowledge for improved case retrieval, also play an important role in CBR problem-solving. For many CBR applications the refinement of this ...

This chapter presents first of all a brief historical overview with critical reflections of Community Based Rehabilitation (CBR) in the ‘mainstream disability world’. It also discusses, more specifically, the area of rehabilitation of people (with disabilities) affected by leprosy. Finally, the chapter provides a contemporary critical analysis of CBR and directions for the future. One should ho...

In this paper Description Logics are presented as a suitable formalism to model the CBR life cycle. We propose a general model to structure the knowledge needed in a CBR system, where adaptation knowledge is explicitly represented. Next, the CBR processes are described based on this model and the CBR system OoFRA is presented as an example of our approach.

Case-based Reasoning (CBR), a method of analogical reasoning which is common and extremely important in human cognition, has only recently emerged as a major reasoning methodology. CBR involves solving new problems by identifying and adapting solutions to similar problems stored in a library of past experiences. The important steps in the inference cycle of CBR are to retrieve cases from the li...

Despite a plethora of research on consumer-brand relationships (CBR) spanning over the past one and half decades, the extant research failed to identify and integrate the attitudinal and behavioural components of CBR in their conceptualization and subsequent operationalization. However, to sustain long term CBR, there is a need for a comprehensive understanding of the antecedents and consequenc...

Parametric, or model-based CBR is being used in IBM projects for knowledge management. This paper provides an overview of the use of CBR in an internal project called TEPM Technology Enabled Project Model. TEPM uses CBR in a collaborative web-based environment to provide reuse support for practitioners doing project work. The paper outlines the knowledge model of an "Asset Advisor" for managing...

Knowledge intensive session modeling and mixed initiative recommendation are introduced in the CBR framework. The advantages of this approach, with respect to traditional web logs plus Data Mining, are shown. On-line, dynamic identification of in-context past similar sessions is exploited for building personalized recommendations. Session components, which are hierarchically structured, are sel...