Using clustering and dynamic mutual information for topic feature selection-Reference-Cited by-同舟云学术

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Using clustering and dynamic mutual information for topic feature selection

Published:2014-11 Issue:11 Volume:22 Page:572-580
ISSN:1071-0922
Container-title:Journal of the Society for Information Display
language:en
Short-container-title:Jnl Soc Info Display

Author:

Xu Jian-min¹,Wu Shu fang¹²,Zhu Jie³

Affiliation:

1. College of Management; Hebei University; Baoding 071002 China

2. Department of Information Engineering; Hebei Software Institute; Baoding 071000 China

3. Department of Information Management; The Central Institute for Correctional Police; Baoding 071000 China

Funder

Science Foundation of HeBei Province

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jsid.289/fullpdf

Reference27 articles.

1. Summary of feature selection algorithms [J];Yao;Control and Decision,2012

2. An extensive empirical study of feature selection metrics for text classification [J];Forman;J Mach Learn Res,2003

3. Benchmarking attribute selection techniques for discrete class data mining [J];Hall;IEEE Trans. Knowl. Data Eng.,2003

4. Y. Yang J. O. Pedersen A comparative study on feature selection in text categorization [C] 1997

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