151 search results - page 22 / 31 » Discretization from data streams: applications to histograms... |
SDM
2003
SIAM
13 years 9 months ago
2003
SIAM
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
USENIX
2007
13 years 10 months ago
2007
Monitoring and mining real-time network data streams is crucial for managing and operating data networks. The information that network operators desire to extract from the network...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
KDD
2009
ACM
14 years 3 days 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...
GECCO
2003
Springer
14 years 23 days ago
2003
Springer
In this paper, we present a novel evolutionary algorithm, called NOCEA, which is suitable for Data Mining (DM) clustering applications. NOCEA evolves individuals that consist of a ...