124 search results - page 10 / 25 » Adaptively Detecting Aggregation Bursts in Data Streams |
PAKDD
2004
ACM
14 years 26 days ago
2004
ACM
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
AMW
2010
13 years 9 months ago
2010
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
WWW
2009
ACM
14 years 2 months ago
2009
ACM
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
EUROPAR
2006
Springer
13 years 11 months ago
2006
Springer
Increasingly, a number of applications across computer sciences and other science and engineering disciplines rely on, or can potentially benefit from, analysis and monitoring of d...