961 search results - page 112 / 193 » Significance-Driven Graph Clustering |
240
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VLDB
2007
ACM
16 years 4 months ago
2007
ACM
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
236
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SIGMOD
2008
ACM
16 years 4 months ago
2008
ACM
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
145
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UAI
2004
15 years 5 months ago
2004
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
139
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WWW
2004
ACM
16 years 5 months ago
2004
ACM
While we expect to discover knowledge in the texts available on the Web, such discovery usually requires many complex analysis steps, most of which require different text handling...
155
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IPPS
2008
IEEE
15 years 11 months ago
2008
IEEE
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...