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Dimension reduction / Feature selection / Model selection / Formal sciences / Search algorithms / Supervised learning / Weka / Algorithm / Data mining / Statistics / Machine learning / Computational statistics


Document Date: 2011-03-11 01:02:08

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File Size: 673,89 KB

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Company

Microsoft / /

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IndustryTerm

data mining techniques / data mining applications / text mining / given learning algorithms / data mining algorithm / java based installer / feature selection algorithm / unsupervised and semi-supervised feature selection algorithms / subset selection algorithm / predetermined learning algorithm / search strategy / conduct search / data mining / social computing / software package / design new feature selection algorithms / subset selection algorithms / http /

OperatingSystem

Microsoft Windows / /

Organization

Arizona State University / /

Person

Huan Liu / Salem Alelyani / Fred Morstatter / /

Position

wrapper model for feature selection / administrator / representative / / /

ProgrammingLanguage

MATLAB / php / /

Technology

genomics / proteomics / subset selection algorithms / existing feature selection algorithms / bioinformatics / predetermined learning algorithm / specific feature selection algorithms / unsupervised and semi-supervised feature selection algorithms / Semi-supervised feature selection algorithms / feature selection algorithm / machine learning / supervised feature selection algorithms / feature selection algorithms / specific feature selection algorithm / learning algorithm / representative feature selection algorithms / java / 2.1 Algorithm Implementation Protocol / user-created feature selection algorithms / subset selection algorithm / following protocol / data mining / selection algorithms / unsupervised feature selection algorithms / given learning algorithms / feature weighting algorithms / data mining algorithm / /

URL

http /

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