243 search results - page 23 / 49 » Scalable mining of large disk-based graph databases |
CIKM
2009
Springer
14 years 6 days ago
2009
Springer
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
PAKDD
2011
ACM
12 years 10 months ago
2011
ACM
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
ICDE
2012
IEEE
11 years 10 months ago
2012
IEEE
Abstract—Most objects and data in the real world are interconnected, forming complex, heterogeneous but often semistructured information networks. However, many database research...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
KDD
2004
ACM
14 years 28 days ago
2004
ACM
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...