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KDD
2009
ACM
14 years 8 months ago
2009
ACM
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
In this article we describe a visual-analytic tool for the interrogation of evolving interaction network data such as those found in social, bibliometric, WWW and biological appli...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
KDD
2005
ACM
14 years 8 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...