Title :
Invited Paper: Intelligent Data Mining Assistance via CBR and Ontologies
Author :
Charest, Michel ; Delisle, Sylvain ; Cervantes, Ofelia ; Shen, Yanfen
Author_Institution :
Dept. de Mathematiques et d´´Informatique, Univ. du Quebec a Trois-Rivieres, Que.
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
Keywords :
case-based reasoning; data mining; ontologies (artificial intelligence); CBR; hybrid data mining assistant; intelligent data mining assistance; ontologies; Business; Competitive intelligence; Data mining; Databases; Delta modulation; Machine learning; Machine learning algorithms; Ontologies; Special issues and sections; Statistics;
Conference_Titel :
Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on
Conference_Location :
Krakow
Print_ISBN :
0-7695-2641-1
DOI :
10.1109/DEXA.2006.78
