94 search results - page 10 / 19 » Graph mining: Laws, generators, and algorithms |
WSDM
2009
ACM
14 years 2 months ago
2009
ACM
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
AICCSA
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper presents a systematic approach to mine colocation patterns in Sloan Digital Sky Survey (SDSS) data. SDSS Data Release 5 (DR5) contains 3.6 TB of data. Availability of s...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
SIGMOD
2010
ACM
13 years 7 months ago
2010
ACM
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
WAW
2007
Springer
14 years 1 months ago
2007
Springer
A random graph model based on Kronecker products of probability matrices has been recently proposed as a generative model for large-scale real-world networks such as the web. This...