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» Mining Multiple Large Databases
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CIT
2007
Springer
13 years 8 months ago
Mining Multiple Large Databases
: Effective data analysis using multiple databases requires highly accurate patterns. Local pattern analysis might extract low quality patterns from multiple large databases. Thus,...
Animesh Adhikari, P. R. Rao, Jhimli Adhikari
VLDB
1995
ACM
195views Database» more  VLDB 1995»
13 years 8 months ago
Discovery of Multiple-Level Association Rules from Large Databases
Previous studies on mining association rules find rules at single concept level, however, mining association rules at multiple concept levels may lead to the discovery of more spe...
Jiawei Han, Yongjian Fu
SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
13 years 4 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han
DATAMINE
2006
142views more  DATAMINE 2006»
13 years 4 months ago
Sequential Pattern Mining in Multi-Databases via Multiple Alignment
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
ICDE
1994
IEEE
99views Database» more  ICDE 1994»
13 years 8 months ago
Supporting Data Mining of Large Databases by Visual Feedback Queries
In this paper, we describe a query system that provides visual relevance feedback in querying large databases. Our goal is to support the process of data mining by representing as...
Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl