Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-15T04:32:19.362Z Has data issue: false hasContentIssue false
  • English
  • Français

Case-based reasoning for diagnosis applications

Published online by Cambridge University Press:  08 May 2006

MEHMET H. GÖKER ,
ROBERT J. HOWLETT  and
JOSEPH E. PRICE
MEHMET H. GÖKER
Affiliation:
PricewaterhouseCoopers L.L.P., Center for Advanced Research, Ten Almaden Blvd., Suite 1600, San Jose, CA 95113, USA; e-mail: mehmet.goker@us.pwc.com
ROBERT J. HOWLETT
Affiliation:
University of Brighton, School of Engineering Research Centre, Moulsecoomb, Brighton, BN2 4GJ, UK; e-mail: R.J.Howlett@brighton.ac.uk
JOSEPH E. PRICE
Affiliation:
MITRE, 7515 Colshire Drive, McLean, VA 22102-7508, USA; e-mail: JPRICE@mitre.org
Get access Rights & Permissions [Opens in a new window]

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.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 20 , Issue 3 , September 2005 , pp. 277 - 281
Copyright
2006 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)