Evolving Feature Selection

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	Similar Articles Articles by Huan Liu Articles by Edward R. Dougherty Articles by Jennifer G. Dy Articles by Kari Torkkola Articles by Eugene Tuv Articles by Hanchuan Peng Articles by Chris Ding Articles by Fuhui Long Articles by Michael Berens Articles by Lance Parsons Articles by Zheng Zhao Articles by Lei Yu Articles by George Forman

November/December 2005 (vol. 20 no. 6)

pp. 64-76

	ASCII Text	x
	Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris Ding, Fuhui Long, Michael Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman, "Evolving Feature Selection," IEEE Intelligent Systems, vol. 20, no. 6, pp. 64-76, November/December, 2005.

	BibTex	x
	@article{ 10.1109/MIS.2005.105, author = {Huan Liu and Edward R. Dougherty and Jennifer G. Dy and Kari Torkkola and Eugene Tuv and Hanchuan Peng and Chris Ding and Fuhui Long and Michael Berens and Lance Parsons and Zheng Zhao and Lei Yu and George Forman}, title = {Evolving Feature Selection}, journal ={IEEE Intelligent Systems}, volume = {20}, number = {6}, issn = {1541-1672}, year = {2005}, pages = {64-76}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2005.105}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Intelligent Systems TI - Evolving Feature Selection IS - 6 SN - 1541-1672 SP64 EP76 EPD - 64-76 A1 - Huan Liu, A1 - Edward R. Dougherty, A1 - Jennifer G. Dy, A1 - Kari Torkkola, A1 - Eugene Tuv, A1 - Hanchuan Peng, A1 - Chris Ding, A1 - Fuhui Long, A1 - Michael Berens, A1 - Lance Parsons, A1 - Zheng Zhao, A1 - Lei Yu, A1 - George Forman, PY - 2005 KW - feature selection KW - data mining KW - bioinformatics KW - text mining KW - clustering KW - classification VL - 20 JA - IEEE Intelligent Systems ER -

Huan Liu, Arizona State University

Edward R. Dougherty, Texas A&M University

Jennifer G. Dy, Northeastern University

Kari Torkkola, Motorola

Eugene Tuv, Intel

Hanchuan Peng, Lawrence Berkeley National Laboratory

Chris Ding, Lawrence Berkeley National Laboratory

Fuhui Long, Lawrence Berkeley National Laboratory

Michael Berens, Translational Genomics Research Institute

Lance Parsons, Arizona State University

Zheng Zhao, Arizona State University

Lei Yu, State University of New York, Binghamton

George Forman, Hewlett-Packard Labs

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2005.105

Feature selection is a preprocessing technique, commonly used on high-dimensional data, that studies how to select a subset or list of attributes or variables that are used to construct models describing data. Wide data sets, which have a huge number of features but relatively few instances, introduce a novel challenge to feature selection. This installment of Trends & Controversies looks at several different ways of meeting this challenge.

This department is part of a special issue on Data Mining in Bioinformatics.

Index Terms:

feature selection, data mining, bioinformatics, text mining, clustering, classification

Citation:

Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris Ding, Fuhui Long, Michael Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman, "Evolving Feature Selection," IEEE Intelligent Systems, vol. 20, no. 6, pp. 64-76, Nov./Dec. 2005, doi:10.1109/MIS.2005.105

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