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» Adaptively Detecting Aggregation Bursts in Data Streams
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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
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...
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 4 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
TELSYS
2008
70views more  TELSYS 2008»
13 years 4 months ago
On the traffic modeling of burst aggregation algorithms using video and data traces
We obtain analytically the delay per packet in a burst for the three burst aggregation algorithms: Time based, Burst Length based and mixed Time and Burst Length based, assuming r...
Xenia Mountrouidou
LWA
2008
13 years 5 months ago
Towards Burst Detection for Non-Stationary Stream Data
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...
Daniel Klan, Marcel Karnstedt, Christian Pöli...