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SASN
2006
ACM
14 years 4 months ago
Attack-resilient hierarchical data aggregation in sensor networks
In a large sensor network, in-network data aggregation, i.e., combining partial results at intermediate nodes during message routing, significantly reduces the amount of communic...
Sankardas Roy, Sanjeev Setia, Sushil Jajodia
VEE
2012
ACM
252views Virtualization» more  VEE 2012»
12 years 5 months ago
libdft: practical dynamic data flow tracking for commodity systems
Dynamic data flow tracking (DFT) deals with tagging and tracking data of interest as they propagate during program execution. DFT has been repeatedly implemented by a variety of ...
Vasileios P. Kemerlis, Georgios Portokalidis, Kang...
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
14 years 10 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 years 10 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
SENSYS
2006
ACM
14 years 4 months ago
Scalable data aggregation for dynamic events in sensor networks
Computing and maintaining network structures for efficient data aggregation incurs high overhead for dynamic events where the set of nodes sensing an event changes with time. Mor...
Kai-Wei Fan, Sha Liu, Prasun Sinha