DocumentCode
2219551
Title
Knowledge discovery in multiple databases
Author
Wu, X.
Author_Institution
Dept. of Comput. Sci., Vermont Univ., Burlington, VT, USA
fYear
2004
fDate
15-17 Nov. 2004
Firstpage
2
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on
Conference_Location
Boca Raton, FL, USA
ISSN
1082-3409
Print_ISBN
0-7695-2236-X
Type
conf
DOI
10.1109/ICTAI.2004.78
Filename
1374161
Link To Document