1082 search results - page 70 / 217 » Graph Mining using Graph Pattern Profiles |
124
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KDD
2005
ACM
16 years 2 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
186
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EDBT
2011
ACM
14 years 5 months ago
2011
ACM
Graph clustering has generally concerned itself with clustering undirected graphs; however the graphs from a number of important domains are essentially directed, e.g. networks of...
121
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BIOINFORMATICS
2007
15 years 2 months ago
2007
Biological pathways provide significant insights on the interaction mechanisms of molecules. Presently, many essential pathways still remain unknown or incomplete for newly sequen...
120
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SC
2009
ACM
15 years 9 months ago
2009
ACM
Large graph analysis has become increasingly important and is widely used in many applications such as web mining, social network analysis, biology, and information retrieval. The...
122
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KDD
2009
ACM
15 years 9 months ago
2009
ACM
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...