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AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
15 years 1 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
ML
2008
ACM
14 years 9 months ago
Discovering significant patterns
Pattern discovery techniques, such as association rule discovery, explore large search spaces of potential patterns to find those that satisfy some user-specified constraints. Due...
Geoffrey I. Webb
BMCBI
2005
89views more  BMCBI 2005»
14 years 9 months ago
MILANO - custom annotation of microarray results using automatic literature searches
Background: High-throughput genomic research tools are becoming standard in the biologist's toolbox. After processing the genomic data with one of the many available statisti...
Ran Rubinstein, Itamar Simon
BMCBI
2008
122views more  BMCBI 2008»
14 years 10 months ago
Reconstructing networks of pathways via significance analysis of their intersections
Background: Significance analysis at single gene level may suffer from the limited number of samples and experimental noise that can severely limit the power of the chosen statist...
Mirko Francesconi, Daniel Remondini, Nicola Nerett...
ESANN
2008
14 years 11 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...