Adaptation Knowledge Discovery from a Case Base

Authors:
M. d'Aquin;F. Badra;S. Lafrogne;J. Lieber;A. Napoli;L. Szathmary
Affiliations:
LORIA (UMR 7503 CNRS--INPL--INRIA-Nancy 2--UHP), BP 239, 54506 Vandœuvre-lès-Nancy, FRANCE;LORIA (UMR 7503 CNRS--INPL--INRIA-Nancy 2--UHP), BP 239, 54506 Vandœuvre-lès-Nancy, FRANCE;LORIA (UMR 7503 CNRS--INPL--INRIA-Nancy 2--UHP), BP 239, 54506 Vandœuvre-lès-Nancy, FRANCE;LORIA (UMR 7503 CNRS--INPL--INRIA-Nancy 2--UHP), BP 239, 54506 Vandœuvre-lès-Nancy, FRANCE;LORIA (UMR 7503 CNRS--INPL--INRIA-Nancy 2--UHP), BP 239, 54506 Vandœuvre-lès-Nancy, FRANCE;LORIA (UMR 7503 CNRS--INPL--INRIA-Nancy 2--UHP), BP 239, 54506 Vandœuvre-lès-Nancy, FRANCE
Venue:
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Year:
2006

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Abstract

In case-based reasoning, the adaptation step depends in general on domain-dependent knowledge, which motivates studies on adaptation knowledge acquisition (AKA). CABAMAKA is an AKA system based on principles of knowledge discovery from databases. This system explores the variations within the case base to elicit adaptation knowledge. It has been successfully tested in an application of case-based decision support to breast cancer treatment.