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» Systematic clustering method for l-diversity model
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SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
14 years 2 months ago
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
VTC
2008
IEEE
103views Communications» more  VTC 2008»
13 years 11 months ago
On Parameter Estimation for Ultra-Wideband Channels with Clustering Phenomenon
— One of the unique characteristics of ultra-wideband channels is the clustering phenomenon resolved by the ultra-wide signal bandwidth. Channel structures extended from the Sale...
Wei-De Wu, Chung-Hsuan Wang, Chi-Chao Chao, Klaus ...
CORR
2010
Springer
155views Education» more  CORR 2010»
13 years 5 months ago
Data-driven Co-clustering Model of Internet Usage in Large Mobile Societies
Design and simulation of future mobile networks will center around human interests and behavior. We propose a design paradigm for mobile networks driven by realistic models of use...
Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka, Manas ...
BMCBI
2010
113views more  BMCBI 2010»
13 years 5 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...
BMCBI
2006
84views more  BMCBI 2006»
13 years 4 months ago
Inferring topology from clustering coefficients in protein-protein interaction networks
Background: Although protein-protein interaction networks determined with high-throughput methods are incomplete, they are commonly used to infer the topology of the complete inte...
Caroline C. Friedel, Ralf Zimmer