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17th International Conference on Database and Expert Systems Applications (DEXA'06)
Invited Paper: Intelligent Data Mining Assistance via CBR and Ontologies
Krakow, Poland
September 04-September 08
ISBN: 0-7695-2641-1
Michel Charest, Universit? du Qu?bec ? Trois-Rivi?res, Canada
Sylvain Delisle, Universit? du Qu?bec ? Trois-Rivi?res, Canada
Ofelia Cervantes, Universidad de las Am?ricas, Mexico
Yanfen Shen, Universit? du Qu?bec ? Trois-Rivi?res, Canada
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.
Citation:
Michel Charest, Sylvain Delisle, Ofelia Cervantes, Yanfen Shen, "Invited Paper: Intelligent Data Mining Assistance via CBR and Ontologies," dexa, pp.593-597, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006
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