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» On the Complexity of Mining Temporal Trends
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DMKD
1997
ACM
101views Data Mining» more  DMKD 1997»
13 years 9 months ago
On the Complexity of Mining Temporal Trends
Jef Wijsen, Robert Meersman
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
13 years 11 months ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas
ICDM
2007
IEEE
196views Data Mining» more  ICDM 2007»
13 years 11 months ago
Diagnosing Similarity of Oscillation Trends in Time Series
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
Leonardo E. Mariote, Claudia Bauzer Medeiros, Rica...
INCDM
2010
Springer
193views Data Mining» more  INCDM 2010»
13 years 9 months ago
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 5 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...