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» Intervention Events Detection and Prediction in Data Streams
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SIGMOD
2003
ACM
123views Database» more  SIGMOD 2003»
14 years 7 months ago
Distributed deviation detection in sensor networks
Sensor networks have recently attracted much attention, because of their potential applications in a number of different settings. The sensors can be deployed in large numbers in ...
Themistoklis Palpanas, Dimitris Papadopoulos, Vana...
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 8 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
ICCS
2004
Springer
14 years 1 months ago
Distributed Collaborative Adaptive Sensing for Hazardous Weather Detection, Tracking, and Predicting
A new data-driven approach to atmospheric sensing and detecting/ predicting hazardous atmospheric phenomena is presented. Dense networks of small high-resolution radars are deploye...
Jerry Brotzge, V. Chandresakar, Kelvin Droegemeier...
TKDE
2008
178views more  TKDE 2008»
13 years 7 months ago
Efficient Similarity Search over Future Stream Time Series
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
Xiang Lian, Lei Chen 0002
ICDE
2008
IEEE
209views Database» more  ICDE 2008»
14 years 9 months ago
Distributed Monitoring of Peer-to-Peer Systems
In this paper, we are concerned with the distributed monitoring of P2P systems. We introduce the P2P Monitor system and a new declarative language, namely P2PML, for specifying mo...
Serge Abiteboul, Bogdan Marinoiu, Pierre Bourhis