Title :
Knowledge discovery in multiple databases
Author_Institution :
Dept. of Comput. Sci., Vermont Univ., Burlington, VT, USA
Abstract :
Summary form is only given. Knowledge discovery in multiple databases is an important research area because (1) there is an urgent need for analyzing data in different sources, (2) there are essential differences between mono and multidatabase mining, and (3) there are limitations in existing multidatabase mining efforts. This talk describe a multidatabase mining process, and review some research issues related to multidatabase mining, including database clustering and local pattern analysis.
Keywords :
data mining; distributed databases; pattern clustering; database clustering; knowledge discovery; multidatabase mining; pattern analysis; Artificial intelligence; Computer science; Data analysis; Databases; Pattern analysis;
Conference_Titel :
Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on
Conference_Location :
Boca Raton, FL, USA
Print_ISBN :
0-7695-2236-X
DOI :
10.1109/ICTAI.2004.78
