A new definition of qualified gain in a data fusion

David Bellot 1 Anne Boyer 1 François Charpillet 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : A formal framework is proposed for defining data fusion processes and particularly a notion of qualified gain in a data fusion process is proposed: gain in representation, completeness, accuracy and certainty. These notions are applied to a medical monitoring and diagnosis problem where a dynamic Bayesian network (DBN) is used to modelize time series of observations and evolving states. The model aims at giving a daily diagnosis. Our experiments are under way by using data of an already existing system collected on kidney disease patients. Results will be characterized using our notion of qualified gains.
Type de document :
Communication dans un congrès
The Fifth International Conference on Information Fusion - FUSION'2002, 2002, Annapolis, Maryland, USA, 8 p, 2002
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https://hal.inria.fr/inria-00100825
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Soumis le : mardi 26 septembre 2006 - 14:52:04
Dernière modification le : jeudi 11 janvier 2018 - 06:19:50

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  • HAL Id : inria-00100825, version 1

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David Bellot, Anne Boyer, François Charpillet. A new definition of qualified gain in a data fusion. The Fifth International Conference on Information Fusion - FUSION'2002, 2002, Annapolis, Maryland, USA, 8 p, 2002. 〈inria-00100825〉

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