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Reseach Article

A Survey on Stable Feature Selection for Micro Array Data

Published on February 2013 by G. Baskar, P. Ponmuthuramalingam
International Conference on Research Trends in Computer Technologies 2013
Foundation of Computer Science USA
ICRTCT - Number 3
February 2013
Authors: G. Baskar, P. Ponmuthuramalingam
a59dcf5a-bbeb-4aba-b706-dd030d31b429

G. Baskar, P. Ponmuthuramalingam . A Survey on Stable Feature Selection for Micro Array Data. International Conference on Research Trends in Computer Technologies 2013. ICRTCT, 3 (February 2013), 10-13.

@article{
author = { G. Baskar, P. Ponmuthuramalingam },
title = { A Survey on Stable Feature Selection for Micro Array Data },
journal = { International Conference on Research Trends in Computer Technologies 2013 },
issue_date = { February 2013 },
volume = { ICRTCT },
number = { 3 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 10-13 },
numpages = 4,
url = { /proceedings/icrtct/number3/10817-1030/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Research Trends in Computer Technologies 2013
%A G. Baskar
%A P. Ponmuthuramalingam
%T A Survey on Stable Feature Selection for Micro Array Data
%J International Conference on Research Trends in Computer Technologies 2013
%@ 0975-8887
%V ICRTCT
%N 3
%P 10-13
%D 2013
%I International Journal of Computer Applications
Abstract

Feature selection has recently attracted strong interest in knowledge discovery from high-dimensional data. Classification is a data mining (machine learning) technique used to predict group membership for data instances, microarray is the technology which allows researchers to gather information on various gene expression all at the same time and this techniques have been applied in many computer application. Gene selection for cancer classification is one of the most important topics in biomedical field. In this survey a common microarray classification techniques based on data mining methodology for perform both accuracy and stability measurement.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Feature Selection Stability Microarray Classification