9 search results - page 1 / 2 » Mining Frequent Subgraphs to Extract Communication Patterns ... |
ICDCN
2011
Springer
12 years 8 months ago
2011
Springer
In this paper, we propose to use graph-mining techniques to understand the communication pattern within a data-centre. We model the communication observed within a data-centre as a...
CORR
2012
Springer
12 years 9 days ago
2012
Springer
In this work, we study the correlation between attribute sets and the occurrence of dense subgraphs in large attributed graphs, a task we call structural correlation pattern minin...
KAIS
2010
13 years 3 months ago
2010
In systems of interacting entities such as social networks, interactions that occur regularly typically correspond to significant, yet often infrequent and hard to detect, interact...
HPCC
2005
Springer
13 years 10 months ago
2005
Springer
Structured data represented in the form of graphs arises in several fields of the science and the growing amount of available data makes distributed graph mining techniques partic...
SIGMOD
2008
ACM
14 years 4 months ago
2008
ACM
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...