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» Significance-Driven Graph Clustering
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140
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CONEXT
2010
ACM
15 years 2 months ago
Profiling-By-Association: a resilient traffic profiling solution for the internet backbone
Profiling Internet backbone traffic is becoming an increasingly hard problem since users and applications are avoiding detection using traffic obfuscation and encryption. The key ...
Marios Iliofotou, Brian Gallagher, Tina Eliassi-Ra...
ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 11 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
BIOCOMP
2008
15 years 6 months ago
Prediction of Protein Function Using Graph Container and Message Passing
We introduce a novel parameter called container flux, which is used to measure the information sharing capacity between two distinct nodes in a graph. Other useful information, bot...
Hongbo Zhou, Qiang Shawn Cheng, Mehdi Zargham
151
Voted
SIROCCO
2008
15 years 5 months ago
Recovering the Long-Range Links in Augmented Graphs
The augmented graph model, as introduced by Kleinberg (STOC 2000), is an appealing model for analyzing navigability in social networks. Informally, this model is defined by a pair...
Pierre Fraigniaud, Emmanuelle Lebhar, Zvi Lotker
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
15 years 9 months ago
A graph-theoretic approach to extract storylines from search results
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
Ravi Kumar, Uma Mahadevan, D. Sivakumar