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» Assessing data mining results via swap randomization
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SAC
2006
ACM
14 years 7 days ago
On the use of spectral filtering for privacy preserving data mining
Randomization has been a primary tool to hide sensitive private information during privacy preserving data mining.The previous work based on spectral filtering, show the noise ma...
Songtao Guo, Xintao Wu
BMCBI
2008
182views more  BMCBI 2008»
13 years 6 months ago
MiMiR - an integrated platform for microarray data sharing, mining and analysis
Background: Despite considerable efforts within the microarray community for standardising data format, content and description, microarray technologies present major challenges i...
Chris Tomlinson, Manjula Thimma, Stelios Alexandra...
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
11 years 8 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
14 years 14 days ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
14 years 3 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...