Sciweavers

10 search results - page 1 / 2
» Metropolis Algorithms for Representative Subgraph Sampling
Sort
View
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
13 years 11 months ago
Metropolis Algorithms for Representative Subgraph Sampling
While data mining in chemoinformatics studied graph data with dozens of nodes, systems biology and the Internet are now generating graph data with thousands and millions of nodes....
Christian Hübler, Hans-Peter Kriegel, Karsten...
WWW
2010
ACM
13 years 12 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
14 years 2 months ago
Randomization Techniques for Graphs.
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...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
WWW
2006
ACM
14 years 5 months ago
Random sampling from a search engine's index
We revisit a problem introduced by Bharat and Broder almost a decade ago: how to sample random pages from the corpus of documents indexed by a search engine, using only the search...
Ziv Bar-Yossef, Maxim Gurevich
BMCBI
2008
119views more  BMCBI 2008»
13 years 5 months ago
A new method for 2D gel spot alignment: application to the analysis of large sample sets in clinical proteomics
Background: In current comparative proteomics studies, the large number of images generated by 2D gels is currently compared using spot matching algorithms. Unfortunately, differe...
Sabine Pérès, Laurence Molina, Nicol...