243 search results - page 18 / 49 » Scalable mining of large disk-based graph databases |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
With more and more large networks becoming available, mining and querying such networks are increasingly important tasks which are not being supported by database models and query...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
SSDBM
2010
IEEE
13 years 6 months ago
2010
IEEE
Currently, a large amount of data can be best represented as graphs, e.g., social networks, protein interaction networks, etc. The analysis of these networks is an urgent research ...