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JASIS
2011
98views more  JASIS 2011»
13 years 1 months ago
Hip and trendy: Characterizing emerging trends on Twitter
Twitter, Facebook, and other related systems that we call social awareness streams are rapidly changing the information and communication dynamics of our society. These systems, w...
Mor Naaman, Hila Becker, Luis Gravano
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
14 years 6 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 6 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
12 years 1 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 3 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein