CBR: An Introduction Geert Vanneste 49 CBR in Uganda Liz Moulton 51 CBR in India D Nagarajan 52 CBR: Case-Finding and Rehabilitation Geert Vanneste 54 Launch of Vision 2020 Christian Garms 56 Case-Control Studies Susan Lewallen and Paul Courtright 57 JCEH: Subject Index (Issues 1–24) Sue Stevens 59 Leprosy in West Bengal, India S K Samanta and I S Roy 61 ● train, follow-up and manage their CRWs...

Our approach to Case-Based Reasoning (CBR) is to build integrated systems that combine case specific knowledge with models of general domain knowledge. In this paper we describe CBROnto, the CBR ontology we have developed, as a task/method ontology. CBROnto specifies a modelling framework to describe reusable CBR Problem Solving Methods based on the CBR tasks they solve and the knowledge requir...

In this paper, we propose a novel CBR-based approach for ship collision avoidance. After the introduction of the CBR-based decision-making support, we present two abstraction principles, selecting view points and describing granularity, to create collision avoidance cases from real-time navigation data. Several issues related case creation and CBR-based decisionmaking support are discussed in d...

As a test bed for the Case-Based Reasoning (CBR) approach for automating processes adjustments, the Volvo Car manufacturing process for parts known as crossmembers is chosen. To test the CBR based system, a subset of solved cases is selected and fed as simulated new cases, to developed prototype CBR system. The results show that the CBR is a valuable and promising methodology that can be used f...

Textual CBR applications address issues that have traditionally been dealt with in the Information Retrieval community, namely the handling of textual documents. As CBR is a knowledge-based technique, the question arises where items of knowledge may come from and how they might contribute to the implementation of a Textual CBR system. In this paper, we will show how various pieces of knowledge ...

Recent applications of Case-Based Reasoning (CBR) industry have highlighted two major difficulties with developing CBR systems. These are, the integration of types of knowledge which are orthogonal to the knowledge represented by cases and the case engineering bottleneck. Exploiting the affinity between Data Mining and CBR we propose a unifying framework addressing these issues. Emphasising the...

This paper briefly reviews the applicability of casebased reasoning (CBR) to code understanding and generation. The paper suggests that case-based techniques are already common in code understanding and generation but are seldom labelled as CBR. Some examples of ‘explicit’ and ‘covert’ CBR are briefly examined. It is suggested that extending the existing code understanding and generation method...

Case-based reasoning (CBR) has been viewed by many as just a methodology for building systems, but the foundations of CBR are psychological theories. Dynamic Memory (Schank, 1982) was the rst attempt to describe a theory for learning in computers and people , based on particular forms of data structures and processes, that nowadays are widely used in a variety of forms in CBR. In addition to be...

Case Based Reasoning (CBR) is the first choice in experience-based problems as diagnosis. However, building a case base for CBR is a challenging. Electronic Health Record (EHR) data can provide a starting point for building case base, but it needs a set of preprocessing steps. In this paper, we propose a case-base preparation framework for CBR systems. This framework consists of three main phas...

This overview of different applications of CBR in petroleum engineering is based on a survey and comparative evaluation of different successful applications of CBR. The number of papers and research groups is indicative of importance, need, and growth of CBR in different industries. Application-oriented research in the area of case based reasoning has moved mature research results into practica...