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ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
15 years 3 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
BMCBI
2011
15 years 16 days ago
Worm Phenotype Ontology: integrating phenotype data within and beyond the C. elegans community
Background: Caenorhabditis elegans gene-based phenotype information dates back to the 1970’s, beginning with Sydney Brenner and the characterization of behavioral and morphologi...
Gary Schindelman, Jolene Fernandes, Carol Bastiani...
BMCBI
2011
15 years 16 days ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
ICASSP
2011
IEEE
14 years 9 months ago
Statistical analysis of multi-channel detection using data from airborne AESA radar
We investigate the ground clutter homogeneity and target detection performance using airborne multi-channel AESA (Active Electronically Scanned Array) radar data from flight trial...
Johan Degerman, Thomas Pernstal, Magnus Gisselfalt...
FAST
2009
15 years 3 months ago
Provenance as Data Mining: Combining File System Metadata with Content Analysis
Provenance describes how an object came to be in its present state. Thus, it describes the evolution of the object over time. Prior work on provenance has focussed on databases an...
Vinay Deolalikar, Hernan Laffitte