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CIKM
2009
Springer
14 years 1 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
PAKDD
2005
ACM
102views Data Mining» more  PAKDD 2005»
14 years 25 days ago
A Recent-Biased Dimension Reduction Technique for Time Series Data
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
14 years 21 days ago
Self-Similar Mining of Time Association Rules
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
Daniel Barbará, Ping Chen, Zohreh Nazeri
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
14 years 19 days ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010