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» Troubleshooting Distributed Systems via Data Mining
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EUROPAR
2007
Springer
14 years 3 months ago
SymGrid: A Framework for Symbolic Computation on the Grid
This paper introduces the design of SymGrid, a new Grid framework that will, for the first time, allow multiple invocations of symbolic computing applications to interact via the ...
Kevin Hammond, Abdallah Al Zain, Gene Cooperman, D...
WSCG
2004
117views more  WSCG 2004»
13 years 10 months ago
A Supply-Chain for Computer-Mediated Communication and Visualization
The paper specifies modular software for synchronous and asynchronous computer-mediated communication and visualization in network-distributed environments. It is new because the ...
Nils Jensen, Ralf Einhorn, Gabriele von Voigt
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 7 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 9 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 2 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu