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ICDM
2009
IEEE
181views Data Mining» more  ICDM 2009»
13 years 7 months ago
Efficient Discovery of Frequent Correlated Subgraph Pairs
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
DAGM
2007
Springer
14 years 3 months ago
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
Magnetic resonance spectral images provide information on metabolic processes and can thus be used for in vivo tumor diagnosis. However, each single spectrum has to be checked manu...
L. Görlitz, Bjoern H. Menze, M.-A. Weber, B. ...
IPPS
2008
IEEE
14 years 4 months ago
SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
David A. Bader, Kamesh Madduri
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 10 months ago
Mobile call graphs: beyond power-law and lognormal distributions
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
Mukund Seshadri, Sridhar Machiraju, Ashwin Sridhar...
CONTEXT
2007
Springer
14 years 3 months ago
Context Modeling: Context as a Dressing of a Focus
Contextual Graphs are a context-based formalism used in various real-world applications. They allow a uniform representation of elements of reasoning and of contexts for describing...
Juliette Brézillon, Patrick Brézillo...