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KDD
2007
ACM
15 years 10 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...
AUSDM
2007
Springer
15 years 3 months ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
SOFSEM
2010
Springer
15 years 6 months ago
2010
Springer
Preference queries have received considerable attention in the recent past, due to their use in selecting the most preferred objects, especially when the selection criteria are con...
DASFAA
2005
IEEE
15 years 3 months ago
2005
IEEE
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
PAKDD
2010
ACM
14 years 7 months ago
2010
ACM
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...