DocumentCode
2582320
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.
fYear
0
fDate
0-0 0
Firstpage
593
Lastpage
597
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on
Conference_Location
Krakow
ISSN
1529-4188
Print_ISBN
0-7695-2641-1
Type
conf
DOI
10.1109/DEXA.2006.78
Filename
1698412
Link To Document