47 search results - page 5 / 10 » Classifying Evolving Data Streams Using Dynamic Streaming Ra... |
KDD
2007
ACM
14 years 7 months ago
2007
ACM
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
HIS
2008
13 years 8 months ago
2008
In this paper, we present an algorithm based on the GRASP metaheuristic for solving a dynamic assignment problem in a P2P network designed for sending real-time video over the Int...
KDD
2009
ACM
13 years 12 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
COMAD
2009
13 years 8 months ago
2009
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
TPDS
2008
13 years 7 months ago
2008
Media distribution through application-layer overlay networks has received considerable attention recently, owing to its flexible and readily deployable nature. On-demand streaming...