Invited Paper: Intelligent Data Mining Assistance via CBR and Ontologies

Authors:
Michel Charest;Sylvain Delisle;Ofelia Cervantes;Yanfen Shen
Affiliations:
Université du Québec à Trois-Rivières, Canada;Université du Québec à Trois-Rivières, Canada;Universidad de las Américas, Mexico;Université du Québec à Trois-Rivières, Canada
Venue:
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Year:
2006

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Abstract

Most commercial data mining products provide a large number of models and tools for performing various data mining tasks, but few provide intelligent assistance for addressing many important decisions that must be considered during the mining process. In this paper, we propose the realization of a hybrid data mining assistant, based on the CBR paradigm and the use of an ontology, in order to empower the user during the various phases of the data mining process.