15 search results - page 1 / 3 » Tracking clusters in evolving data streams over sliding wind... |
KAIS
2008
13 years 4 months ago
2008
EDBT
2009
ACM
13 years 9 months ago
2009
ACM
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
PODS
2003
ACM
14 years 4 months ago
2003
ACM
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
ISMIS
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
SSDBM
2003
IEEE
13 years 10 months ago
2003
IEEE
The widespread use of sensor networks presents revolutionary opportunities for life and environmental science applications. Many of these applications involve continuous queries t...