9 search results - page 1 / 2 » Correlating burst events on streaming stock market data |
DATAMINE
2008
13 years 4 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
13 years 6 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
13 years 10 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...
ICDE
2006
IEEE
14 years 5 months ago
2006
IEEE
A burst is a large number of events occurring within a certain time window. As an unusual activity, it's a noteworthy phenomenon in many natural and social processes. Many da...
ISCI
2006
13 years 4 months ago
2006
Management and analysis of streaming data has become crucial with its applications in web, sensor data, network traffic data, and stock market. Data streams consist of mostly nume...