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» Adaptively Detecting Aggregation Bursts in Data Streams
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DMSN
2004
ACM
14 years 28 days ago
Region streams: functional macroprogramming for sensor networks
Sensor networks present a number of novel programming challenges for application developers. Their inherent limitations of computational power, communication bandwidth, and energy...
Ryan Newton, Matt Welsh
GIS
2009
ACM
14 years 8 months ago
On-Line Discovery of Flock Patterns in Spatio-Temporal Data
With the recent advancements and wide usage of location detection devices, large quantities of data are collected by GPS and cellular technologies in the form of trajectories. Whi...
Marcos R. Vieira, Petko Bakalov, Vassilis J. Tsotr...
JASIS
2011
98views more  JASIS 2011»
13 years 2 months ago
Hip and trendy: Characterizing emerging trends on Twitter
Twitter, Facebook, and other related systems that we call social awareness streams are rapidly changing the information and communication dynamics of our society. These systems, w...
Mor Naaman, Hila Becker, Luis Gravano
SIGKDD
2008
113views more  SIGKDD 2008»
13 years 7 months ago
On exploiting the power of time in data mining
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...
Mirko Böttcher, Frank Höppner, Myra Spil...
CVPR
2004
IEEE
14 years 9 months ago
An Unsupervised, Online Learning Framework for Moving Object Detection
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
Vinod Nair, James J. Clark