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» Mining Multiple Large Databases
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DMSN
2006
ACM
14 years 4 months ago
Intelligent system monitoring on large clusters
Modern data centers have a large number of components that must be monitored, including servers, switches/routers, and environmental control systems. This paper describes InteMon,...
Jimeng Sun, Evan Hoke, John D. Strunk, Gregory R. ...
ICDM
2009
IEEE
134views Data Mining» more  ICDM 2009»
13 years 7 months ago
Efficient Discovery of Confounders in Large Data Sets
Given a large transaction database, association analysis is concerned with efficiently finding strongly related objects. Unlike traditional associate analysis, where relationships ...
Wenjun Zhou, Hui Xiong
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
14 years 10 months ago
Natural communities in large linked networks
We are interested in finding natural communities in largescale linked networks. Our ultimate goal is to track changes over time in such communities. For such temporal tracking, we...
John E. Hopcroft, Omar Khan, Brian Kulis, Bart Sel...
AAAI
2007
14 years 12 days ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
ICDE
2006
IEEE
266views Database» more  ICDE 2006»
14 years 11 months ago
Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases
Todays abundance of storage coupled with digital technologies in virtually any scientific or commercial application such as medical and biological imaging or music archives deal w...
Ira Assent, Andrea Wenning, Thomas Seidl