30 search results - page 3 / 6 » Online Structural Graph Clustering Using Frequent Subgraph M... |
CORR
2012
Springer
12 years 1 months 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...
BIBE
2007
IEEE
13 years 9 months ago
2007
IEEE
In this paper, we investigate a new approach for literature mining. We use frequent subgraph mining, and its generalization topological structure mining, for finding interesting re...
SIGMOD
2010
ACM
13 years 10 months ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
EDBT
2012
ACM
11 years 7 months ago
2012
ACM
Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to probl...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...