Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to similar problems that were solved in the past). It has enjoyed considerable success in a wide variety of problem solving tasks and domains. Following a brief overview of the tr...

Building a methodology for developing and maintaining CBR applications is an important goal currently addressed by CBR researchers and practitioners. Since CBR application development is a special kind of software development, building a CBR methodology can certainly be viewed as a software engineering research and development activity. This paper presents a perspective of how software process ...

In many knowledge-based systems the used knowledge is distributed among several knowledge sources. These knowledge sources may have dependencies between each other, which should be considered when maintaining these sources. An integrated maintenance approach for multiple Case-Based Reasoning (CBR) systems has to consider dependencies between the individual knowledge containers within one CBR sy...

This paper presents the concepts, ideas and techniques behind Case Based Reasoning (CBR) in relation to knowledge extraction techniques for health promotion. The ultimate goal is to develop a help-desk service for advice about preventive measures to be taken concerning concrete occupational injury hazards. CBR has been suggested to be a complimentary method to knowledge extraction in order to t...

We present an object-oriented framework in Java for building CBR systems that is an evolution of previous work on knowledge intensive CBR [8, 9]. JColibri is a software artifact that promotes software reuse for building CBR systems, integrating the application of well proven Software Engineering techniques with a knowledge level description that separates the problem solving method, that define...

Case-based reasoning (CBR) is widely used in the business and industrial forecasting. CBR is powerful tool in forecasting. It is suitable to complex and unstructured problem. Recently, CBR is applied many variety of business decision making, such as Enterprise Resource Planning (ERP) pre-planning control, bankrupt, Information System (IS) development control, prediction of customer churning. Th...

Research into Web cost estimation is relatively new where few studies have compared cost estimation modelling techniques for Web development, with an emphasis placed on techniques such as Case-based Reasoning (CBR), linear and stepwise regression. Although in a large subset of these studies CBR has given the best predictions, results were based on a simple type of CBR, where no adaptation rules...

In this paper we explore the reuse of components of known good schedules in new scheduling problems. This involves accumulating a case-base of good quality schedules, retrieving a case (or cases) similar to a new scheduling problem and building a new schedule from components of the retrieved cases. We start by introducing the components of Case-Based Reasoning (CBR) and we describe a CBR soluti...