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DATAMINE
2008
219views more  DATAMINE 2008»
13 years 7 months ago
Correlating burst events on streaming stock market data
Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
DCOSS
2007
Springer
14 years 1 months ago
Dwarf: Delay-aWAre Robust Forwarding for Energy-Constrained Wireless Sensor Networks
With the field of wireless sensor networks rapidly maturing, the focus shifts from “easy” deployments, like remote monitoring, to more difficult domains where applications imp...
Mario Strasser, Andreas Meier, Koen Langendoen, Ph...
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 7 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
VEE
2012
ACM
252views Virtualization» more  VEE 2012»
12 years 2 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...
MOBICOM
2004
ACM
14 years 25 days ago
Power conservation and quality of surveillance in target tracking sensor networks
Target tracking is an important application of wireless sensor networks. In this application, the sensor nodes collectively monitor and track the movement of an event or target ob...
Chao Gui, Prasant Mohapatra