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SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
16 years 7 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
GRC
2010
IEEE
15 years 8 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
BMCBI
2010
125views more  BMCBI 2010»
15 years 7 months ago
Visualisation tool for peptide fractionation data in proteomics: application to OFFGEL isoelectric focussing
Background: OFFGEL isoelectric focussing (IEF) has become a popular tool in proteomics to fractionate peptides or proteins. As a consequence there is a need for software solutions...
David-Olivier D. Azulay, Hendrik Neubert, Mireia F...
BMCBI
2006
114views more  BMCBI 2006»
15 years 6 months ago
A methodology for global validation of microarray experiments
Background: DNA microarrays are popular tools for measuring gene expression of biological samples. This ever increasing popularity is ensuring that a large number of microarray st...
Mathieu Miron, Owen Z. Woody, Alexandre Marcil, Ca...
TKDE
2008
125views more  TKDE 2008»
15 years 6 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
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