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» Mining Very Large Databases
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VLDB
1995
ACM
195views Database» more  VLDB 1995»
14 years 1 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
JIIS
2002
130views more  JIIS 2002»
13 years 9 months ago
Image Mining: Trends and Developments
Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, if analyzed, can reveal useful informa...
Wynne Hsu, Mong-Li Lee, Ji Zhang
EDBT
2009
ACM
156views Database» more  EDBT 2009»
14 years 2 months ago
Evaluating very large datalog queries on social networks
We consider a near future scenario in which users of a Web 2.0 application, such as a social network, contribute to the application not only data, but also rules which automatical...
Royi Ronen, Oded Shmueli
ICDE
1998
IEEE
122views Database» more  ICDE 1998»
14 years 11 months ago
A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases
Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, J&ou...
SOSP
2009
ACM
14 years 6 months ago
Debugging in the (very) large: ten years of implementation and experience
Windows Error Reporting (WER) is a distributed system that automates the processing of error reports coming from an installed base of a billion machines. WER has collected billion...
Kirk Glerum, Kinshuman Kinshumann, Steve Greenberg...