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SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
15 years 5 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...
90
Voted
WSC
2004
15 years 2 months ago
How Factory Physics Helps Simulation
Factory physics provides a systematic description, expressed as laws, of the underlying behavior of a system. These laws can provide important assistance in performing simulation ...
Charles R. Standridge
85
Voted
IPPS
2007
IEEE
15 years 7 months ago
Power-Aware Speedup
Power-aware processors operate in various power modes to reduce energy consumption with a corresponding decrease in peak processor throughput. Recent work has shown power-aware cl...
Rong Ge, Kirk W. Cameron
99
Voted
ICDM
2002
IEEE
105views Data Mining» more  ICDM 2002»
15 years 5 months ago
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing
We empirically evaluate the performance of various reinforcement learning methods in applications to sequential targeted marketing. In particular, we propose and evaluate a progre...
Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bian...
CORR
2012
Springer
209views Education» more  CORR 2012»
13 years 8 months ago
Densest Subgraph in Streaming and MapReduce
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...
Bahman Bahmani, Ravi Kumar, Sergei Vassilvitskii