Case-based reasoning for diagnosis applications

Authors:
Mehmet H. Gö/ker;Robert J. Howlett;Joseph E. Price
Affiliations:
PricewaterhouseCoopers L.L.P., Center for Advanced Research, Ten Almaden Blvd., Suite 1600, San Jose, CA 95113, USA/ e-mail: mehmet.goker&commat/us.pwc.com;University of Brighton, School of Engineering Research Centre, Moulsecoomb, Brighton, BN2 4GJ, UK/ e-mail: R.J.Howlett&commat/brighton.ac.uk;MITRE, 7515 Colshire Drive, McLean, VA 22102-7508, USA/ e-mail: JPRICE&commat/mitre.org
Venue:
The Knowledge Engineering Review
Year:
2005

Citing 0
Cited 2

Representation in case-based reasoning applied to control reconfiguration

ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
jcolibri2: A framework for building Case-based reasoning systems

Science of Computer Programming

Quantified Score

Hi-index	0.00

Visualization

Abstract

Case-based reasoning (CBR) is widely applicable to the diagnosis of problems and the identification of solutions to them. This review of the literature identifies key papers relating to this use of CBR. The stages in diagnosing and troubleshooting a problem are considered and the elements of a CBR system for achieving this are described. Five systems are discussed that have frequently been cited in the literature and illustrate the use of CBR in diagnosis and troubleshooting applications.