Feature selection: We've barely scratched the surface

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

Feature selection: We've barely scratched the surface

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

Research output: Contribution to journal › Review article › peer-review

8 Scopus citations

Abstract

Various feature selection techniques were studied. The trend toward richer data types is pushing feature selection in both scale and complexity. Natural language text features and image features are becoming commonplace. Several trends will increase the demand for feature selection. Time plays an additional role in some nonstationary domains where the best features have a seasonal dependency.

Original language	English (US)
Pages (from-to)	74-76
Number of pages	3
Journal	IEEE Intelligent Systems
Volume	20
Issue number	6
State	Published - Nov 1 2005

ASJC Scopus subject areas

Computer Networks and Communications
Artificial Intelligence

Cite this

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title = "Feature selection: We've barely scratched the surface",

abstract = "Various feature selection techniques were studied. The trend toward richer data types is pushing feature selection in both scale and complexity. Natural language text features and image features are becoming commonplace. Several trends will increase the demand for feature selection. Time plays an additional role in some nonstationary domains where the best features have a seasonal dependency.",

author = "George Forman and Huan Liu and Dougherty, {Edward R.} and Dy, {Jennifer G.} and Kari Torkkola and Eugene Tuv and Hanchuan Peng and Chris Ding and Fuhui Long and Michael Berens and Lance Parsons and Lei Yu and Zheng Zhao",

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AU - Forman, George

AU - Liu, Huan

AU - Dougherty, Edward R.

AU - Dy, Jennifer G.

AU - Torkkola, Kari

AU - Tuv, Eugene

AU - Peng, Hanchuan

AU - Ding, Chris

AU - Long, Fuhui

AU - Berens, Michael

AU - Parsons, Lance

AU - Yu, Lei

AU - Zhao, Zheng

PY - 2005/11/1

Y1 - 2005/11/1

N2 - Various feature selection techniques were studied. The trend toward richer data types is pushing feature selection in both scale and complexity. Natural language text features and image features are becoming commonplace. Several trends will increase the demand for feature selection. Time plays an additional role in some nonstationary domains where the best features have a seasonal dependency.

AB - Various feature selection techniques were studied. The trend toward richer data types is pushing feature selection in both scale and complexity. Natural language text features and image features are becoming commonplace. Several trends will increase the demand for feature selection. Time plays an additional role in some nonstationary domains where the best features have a seasonal dependency.

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Feature selection: We've barely scratched the surface

Abstract

ASJC Scopus subject areas

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