51 search results - page 4 / 11 » Frequent Sub-graph Mining on Edge Weighted Graphs |
KDD
2008
ACM
14 years 10 months ago
2008
ACM
The vast majority of earlier work has focused on graphs which are both connected (typically by ignoring all but the giant connected component), and unweighted. Here we study numer...
ICDM
2010
IEEE
13 years 7 months ago
2010
IEEE
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
KDD
2005
ACM
14 years 3 months ago
2005
ACM
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
CIKM
2009
Springer
14 years 4 months ago
2009
Springer
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
SDM
2009
SIAM
14 years 7 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...