878 search results - page 22 / 176 » Modeling Relational Data as Graphs for Mining |
131
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ICDM
2005
IEEE
15 years 9 months ago
2005
IEEE
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
142
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KDD
2010
ACM
15 years 8 months ago
2010
ACM
Many social networks can be characterized by a sequence of dyadic interactions between individuals. Techniques for analyzing such events are of increasing interest. In this paper,...
144
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
164
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KDD
2008
ACM
2008
ACM
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
16 years 4 months ago
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
116
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KDD
2009
ACM
16 years 4 months ago
2009
ACM
In our work, we address the problem of modeling social network generation which explains both link and group formation. Recent studies on social network evolution propose generati...