43 search results - page 2 / 9 » An Incremental Data Stream Clustering Algorithm Based on Den... |
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...
TKDE
2008
13 years 4 months ago
2008
This paper presents a time series whole clustering system that incrementally constructs a tree-like hierarchy of clusters, using a top-down strategy. The Online Divisive-Agglomera...
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...
ICISC
2004
13 years 6 months ago
2004
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
ASC
2008
13 years 5 months ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...