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» Social Network Discovery Based on Sensitivity Analysis
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ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
14 years 1 months ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...
CHI
2008
ACM
14 years 8 months ago
Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis
Although both statistical methods and visualizations have been used by network analysts, exploratory data analysis remains a challenge. We propose that a tight integration of thes...
Adam Perer, Ben Shneiderman
DMIN
2009
222views Data Mining» more  DMIN 2009»
13 years 5 months ago
P-Sensitive K-Anonymity for Social Networks
-- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
Roy Ford, Traian Marius Truta, Alina Campan
CIKM
2009
Springer
14 years 2 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...
GLOBECOM
2008
IEEE
14 years 2 months ago
Distributed Spectrum Allocation of Delay-Sensitive Users over Multi-User Multi-Carrier Networks
—In this paper, we study the distributed spectrum allocation for autonomous users transmitting delay-sensitive information over a wireless multi-carrier network. Because there is...
Wenchi Tu, Mihaela van der Schaar