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» GraphRank: Statistical Modeling and Mining of Significant Su...
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ICDE
2009
IEEE
290views Database» more  ICDE 2009»
10 years 4 months ago
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
Sayan Ranu, Ambuj K. Singh
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
10 years 3 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
10 years 2 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
BMCBI
2006
142views more  BMCBI 2006»
9 years 2 months ago
Correlated fragile site expression allows the identification of candidate fragile genes involved in immunity and associated with
Background: Common fragile sites (cfs) are specific regions in the human genome that are particularly prone to genomic instability under conditions of replicative stress. Several ...
Angela Re, Davide Corà, Alda Maria Puliti, ...
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