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» Informative sampling for large unbalanced data sets
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108
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VLDB
2000
ACM
135views Database» more  VLDB 2000»
15 years 7 months ago
Telcordia's Database Reconciliation and Data Quality Analysis Tool
This demonstration illustrates how a comprehensive database reconciliation tool can provide the ability to characterize data-quality and data-reconciliation issues in complex real...
Francesco Caruso, Munir Cochinwala, Uma Ganapathy,...
140
Voted
BMCBI
2005
118views more  BMCBI 2005»
15 years 3 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken
99
Voted
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
15 years 10 months ago
GeoDMA - A Novel System for Spatial Data Mining
Although a huge amount of remote sensing data has been provided by Earth observation satellites, few data manipulation techniques and information extraction in large data sets hav...
Thales Sehn Korting, Leila Maria Garcia Fonseca, M...
136
Voted
IPSN
2004
Springer
15 years 8 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
131
Voted
BMCBI
2008
158views more  BMCBI 2008»
15 years 3 months ago
LC-MSsim - a simulation software for liquid chromatography mass spectrometry data
Background: Mass Spectrometry coupled to Liquid Chromatography (LC-MS) is commonly used to analyze the protein content of biological samples in large scale studies. The data resul...
Ole Schulz-Trieglaff, Nico Pfeifer, Clemens Gr&oum...