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CIKM
2009
Springer
14 years 3 months ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu
DAWAK
2008
Springer
13 years 10 months ago
Mining Serial Episode Rules with Time Lags over Multiple Data Streams
The problem of discovering episode rules from static databases has been studied for years due to its wide applications in prediction. In this paper, we make the first attempt to st...
Tung-Ying Lee, En Tzu Wang, Arbee L. P. Chen
ICDE
2006
IEEE
134views Database» more  ICDE 2006»
14 years 2 months ago
Processing High-Volume Stream Queries on a Supercomputer
Scientific instruments, such as radio telescopes, colliders, sensor networks, and simulators generate very high volumes of data streams that scientists analyze to detect and under...
Erik Zeitler, Tore Risch
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
14 years 8 months ago
ORDEN: outlier region detection and exploration in sensor networks
Sensor networks play a central role in applications that monitor variables in geographic areas such as the traffic volume on roads or the temperature in the environment. A key fea...
Conny Franke, Michael Gertz
APNOMS
2006
Springer
14 years 9 days ago
Bandwidth Management for Smooth Playback of Video Streaming Services
In this work we propose an analytic framework for managing the optimal bandwidth required for a smooth playback of a stored video streaming service. First, we argue that the mean b...
Hoon Lee, Yoon Kee Kim, Kwang-Hui Lee