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ICDE
2006
IEEE
201views Database» more  ICDE 2006»
16 years 8 months ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...
SIGMETRICS
2008
ACM
116views Hardware» more  SIGMETRICS 2008»
15 years 6 months ago
Optimal sampling in state space models with applications to network monitoring
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
Harsh Singhal, George Michailidis
ICML
1996
IEEE
16 years 7 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
BIBE
2006
IEEE
160views Bioinformatics» more  BIBE 2006»
16 years 28 days ago
Methods for Random Modularization of Biological Networks
— Biological networks are formalized summaries of our knowledge about interactions among biological system components, like genes, proteins, or metabolites. From their global top...
Zachary M. Saul, Vladimir Filkov
BROADNETS
2005
IEEE
16 years 14 days ago
Modeling and performance evaluation of ISCSI storage area networks
Abstract— This paper provides a concise modeling and performance evaluation of the iSCSI storage area network (SAN) architecture and protocol. SANs play a key role in business co...
Christoph M. Gauger, Martin Köhn, Sebastian G...