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SAC
2009
ACM
13 years 11 months ago
Adaptive burst detection in a stream engine
Detecting bursts in data streams is an important and challenging task. Due to the complexity of this task, usually burst detection cannot be formulated using standard query operat...
Marcel Karnstedt, Daniel Klan, Christian Pöli...
DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
13 years 10 months ago
Adaptively Detecting Aggregation Bursts in Data Streams
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
Aoying Zhou, Shouke Qin, Weining Qian
PKDD
2005
Springer
159views Data Mining» more  PKDD 2005»
13 years 10 months ago
Fast Burst Correlation of Financial Data
We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
ICDS
2007
IEEE
13 years 11 months ago
On Burst Loss in Optical Burst Switched Networks with Hot Potato Deflection Routing
In this article we investigate the effects of increased Control Packet lead Time (CPT) on the loss probability of bursts in an OBS network with deflection routing. In particular w...
Stein Gjessing
CIDM
2007
IEEE
13 years 11 months ago
Privacy Preserving Burst Detection of Distributed Time Series Data Using Linear Transforms
— In this paper, we consider burst detection within the context of privacy. In our scenario, multiple parties want to detect a burst in aggregated time series data, but none of t...
Lisa Singh, Mehmet Sayal