19 search results - page 2 / 4 » Adaptive Spike Detection for Resilient Data Stream Mining |
DASFAA
2005
IEEE
13 years 11 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...
WAIM
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. Mining interesting patterns in data streams has attracted special attention recently. This study revealed the principles behind observations, through variation of interve...
ICDM
2009
IEEE
13 years 3 months ago
2009
IEEE
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
AMW
2010
13 years 6 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...
SIGKDD
2008
13 years 5 months ago
2008
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...