Intelligent data mining assistance via CBR and ontologies

被引：8

作者：

Charest, Michel ^{[1
]}

Delisle, Sylvain ^{[1
]}

Cervantes, Ofelia ^{[2
]}

Shen, Yanfen ^{[1
]}

机构：

[1] Univ Quebec Trois Rivieres, Dept Math & Informat, CP 500, Trois Rivieres, PQ G9A 5H7, Canada

[2] Univ Las Amer, Escuela Ingn Ciencias, Puebla, Mexico

来源：

SEVENTEENTH INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/DEXA.2006.78

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：593 / +

页数：2