DATAMINE
2008
14 years 2 months ago
2008
Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...
LWA
2008
14 years 3 months ago
2008
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
PKDD
2005
Springer
14 years 7 months ago
2005
Springer
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...
DASFAA
2005
IEEE
14 years 8 months ago
2005
IEEE
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...
SAC
2009
ACM
14 years 9 months ago
2009
ACM
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...