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» Social Network Discovery Based on Sensitivity Analysis
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DAC
2005
ACM
13 years 9 months ago
Power grid simulation via efficient sampling-based sensitivity analysis and hierarchical symbolic relaxation
On-chip supply networks are playing an increasingly important role for modern nanometer-scale designs. However, the ever growing sizes of power grids make the analysis problem ext...
Peng Li
CEAS
2008
Springer
13 years 9 months ago
Social Honeypots: Making Friends With A Spammer Near You
Social networking communities have become an important communications platform, but the popularity of these communities has also made them targets for a new breed of social spamme...
Steve Webb, James Caverlee, Calton Pu
WSC
2007
13 years 10 months ago
Visualization techniques utilizing the sensitivity analysis of models
Models of real world systems are being increasingly generated from data that describes the behaviour of systems. Data mining techniques, such as Artificial Neural Networks (ANN),...
Ivo Kondapaneni, Pavel Kordík, Pavel Slav&i...
CCS
2009
ACM
14 years 8 months ago
The union-split algorithm and cluster-based anonymization of social networks
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
Brian Thompson, Danfeng Yao
BMCBI
2010
146views more  BMCBI 2010»
13 years 7 months ago
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
Henry Han