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126
Voted
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 2 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
122
Voted
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
16 years 2 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
CCGRID
2009
IEEE
15 years 8 months ago
Natively Supporting True One-Sided Communication in
As high-end computing systems continue to grow in scale, the performance that applications can achieve on such large scale systems depends heavily on their ability to avoid explic...
Gopalakrishnan Santhanaraman, Pavan Balaji, K. Gop...
111
Voted
P2P
2009
IEEE
115views Communications» more  P2P 2009»
15 years 8 months ago
Modeling and Analysis of Bandwidth-Inhomogeneous Swarms in BitTorrent
—A number of analytical models exists that capture various properties of the BitTorrent protocol. However, until now virtually all of these models have been based on the assumpti...
Michel Meulpolder, Johan A. Pouwelse, Dick H. J. E...
NOMS
2006
IEEE
105views Communications» more  NOMS 2006»
15 years 8 months ago
Adaptive Flow Aggregation - A New Solution for Robust Flow Monitoring under Security Attacks
— Flow-level traffic measurement is required for a wide range of applications including accounting, network planning and security management. A key design challenge is how to gr...
Yan Hu, Dah-Ming Chiu, John C. S. Lui