40 search results - page 1 / 8 » Dynamic Clustering of Evolving Streams with a Single Pass |
ICDE
2003
IEEE
14 years 6 months ago
2003
IEEE
Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc.. It is of great importance to analyze these stream data. As one of the ...
CN
2006
13 years 4 months ago
2006
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
KDD
2005
ACM
14 years 5 months ago
2005
ACM
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
ESANN
2008
13 years 6 months ago
2008
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
— Recently several algorithms for clustering large data sets or streaming data sets have been proposed. Most of them address the crisp case of clustering, which cannot be easily ...