999 search results - page 19 / 200 » Warping the time on data streams |
HPCC
2007
Springer
14 years 1 months ago
2007
Springer
In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...
DASFAA
2006
IEEE
14 years 1 months ago
2006
IEEE
There is much interest in the processing of data streams for applications in the fields such as financial analysis, network monitoring, mobile services, and sensor network manage...
SIGMOD
2003
ACM
14 years 7 months ago
2003
ACM
Traditional databases store sets of relatively static records with no pre-defined notion of time, unless timestamp attributes are explicitly added. While this model adequately rep...
LWA
2008
13 years 9 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...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...