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CADE
2005
Springer
14 years 8 months ago
Privacy-Sensitive Information Flow with JML
In today's society, people have very little control over what kinds of personal data are collected and stored by various agencies in both the private and public sectors. We de...
Guillaume Dufay, Amy P. Felty, Stan Matwin
SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
14 years 8 months ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...
PODS
2002
ACM
167views Database» more  PODS 2002»
14 years 8 months ago
OLAP Dimension Constraints
In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a...
Carlos A. Hurtado, Alberto O. Mendelzon
BMCBI
2010
144views more  BMCBI 2010»
13 years 8 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
BMCBI
2007
157views more  BMCBI 2007»
13 years 8 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
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