This paper deals with a help-desk application development for prevention of occupational injuries and thereby minimize sufferings and costs for the society. We have employed data mining and CBR (Case Based Reasoning) techniques as complimentary methodologies for building the application. In the work we have used a database on work related injuries in Sweden. For the data mining part we have use...

This paper reviews a large number of CBR systems to determine when and what sort of adaptation is currently used. Three taxonomies are proposed: an adaptationrelevant taxonomy of CBR systems, a taxonomy of the tasks performed by CBR systems and a taxonomy of adaptation knowledge. To the extent that the set of systems built, reflects constraints on what is feasible, this review shows interesting...

Current textual CBR research focuses on generating knowledge-rich representations for working with document-cases. However, there are many \weakly-textual" contexts in which textual information plays an important , but ancillary role in case composition and reasoning. For retrieving weakly-textual \semi-structured" cases that contain one or more textual features, it is desirable to measure the ...

The concern of this paper is to lay the fundamentals for applying Case-Based Reasoning (CBR) techniques to the reuse of electronic designs. It describes the requirements of such an application from the CBR point of view 1. Possible solutions to problems that are new to CBR are proposed and a rst working prototype is presented. This work builds an outline for the research project READee. It summ...

This paper presents IntelliMeal, a case-based reasoning (CBR) system for recommending recipes. The main focus of the system is customizing recipes to a given user query re-using the domain knowledge of a CBR system within adaptation rules. In this work we implement a CBR system that works with a limited case base (21 recipes) and increase the amount of recipe recommendations by adapting these r...

This paper describes an application of CBR with decision tree induction in a manufacturing setting to analyze the cause for defects reoccurring in the domain. Abstraction of domain knowledge is made possible by integrating CBR with decision trees. The CID approach augments the recall and reuse done by CBR with statistical analysis that is focused towards the discovery of connections between spe...

This paper describes the design and implementation of a hydraulic circuit design system using case-based reasoning (CBR) paradigm from AI community. The application domain of hydraulic circuit design and case-based reasoning are briefly reviewed. Then a proposed methodology in computer-aided circuit design and dynamic learning with the use of CBR is described. Finally an application example has...

In recent years, quite a number of projects started to apply case-based reasoning technology to textual documents instead of highly structured cases. For this the term Textual CBR has been coined. In this paper, we give an overview over the main ideas of Textual CBR and compare it with Information Retrieval techniques. We also present some preliminary results obtained from three projects perfor...

In this paper a novel, freely available tool for rapid prototyping of Case-based Reasoning (CBR) applications is presented. By providing easy to use model generation, data import, similarity modeling, explanation, and testing functionality together with comfortable graphical user interfaces, the tool enables even CBR novices to rapidly create their first CBR applications. Nevertheless, at the s...