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» A rough set approach to multiple dataset analysis
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BMCBI
2007
140views more  BMCBI 2007»
13 years 4 months ago
Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...
Michael Gormley, William Dampier, Adam Ertel, Bilg...
FUZZIEEE
2007
IEEE
13 years 11 months ago
Distance Measure Assisted Rough Set Feature Selection
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
Neil MacParthalain, Qiang Shen, Richard Jensen
URBAN
2008
128views more  URBAN 2008»
13 years 4 months ago
Discerning landslide susceptibility using rough sets
Rough set theory has been primarily known as a mathematical approach for analysis of a vague description of objects. This paper explores the use of rough set theory to manage the ...
Pece V. Gorsevski, Piotr Jankowski
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
13 years 6 months ago
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Vadeerat Rinsurongkawong, Christoph F. Eick
PRL
2007
180views more  PRL 2007»
13 years 4 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...