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Using Case-Based Reasoning for Supporting Continuous Improvement Processes

 
: Althoff, K.-D.; Bomarius, F.; Müller, W.; Nick, M.

Perner, P. ; Gesellschaft für Informatik -GI-, Fachgruppe 1.1.3 Maschinelles Lernen; Institut für Bildverarbeitung und angewandte Informatik -IBaI-, Leipzig:
Maschinelles Lernen. FGML'99
Leipzig, 1999 (IBaI Report)
ISSN: 1431-2360
S.54-61 : Ill., Lit.
Gesellschaft für Informatik -GI-, Fachgruppe 1.1.3 Maschinelles Lernen (Treffen) <1999, Magdeburg>
Englisch
Konferenzbeitrag
Fraunhofer IESE ()
case-based reasoning

Abstract
The goal of the IPQM project a collaboration of the Fraunhofer Institute for Manufacturing Engineering and Automation (IPA) in Stuttgart and the Fraunhofer Institute for Experimental Software Engineering (IESE) in Kaiserslautern is to develop a technical infrastructure to support continuous improvement processes. We describe the approach we took in some detail and focus on the implementation of the IPQM system and its currently ongoing evaluation in the healthcare sector. We also give an outlook on intended extensions of the system and its application in other domains.

: http://publica.fraunhofer.de/dokumente/PX-38065.html