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» Intervention Events Detection and Prediction in Data Streams
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SIGMOD
2003
ACM
123views Database» more  SIGMOD 2003»
16 years 5 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»
16 years 6 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
15 years 11 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»
15 years 5 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»
16 years 7 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