An Empirical Study of Category Skew on Feature Selection for Text Categorization

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01818-3_35 ◽

2009 ◽

pp. 249-252

Author(s):

Mondelle Simeon ◽

Robert Hilderman

Keyword(s):

Feature Selection ◽

Empirical Study ◽

Text Categorization ◽

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An Extensive Empirical Study of Feature Selection for Text Categorization

Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008) ◽

10.1109/icis.2008.49 ◽

2008 ◽

Author(s):

Li-Qing Qiu ◽

Ru-Yi Zhao ◽

Gang Zhou ◽

Sheng-Wei Yi

Keyword(s):

Feature Selection ◽

Empirical Study ◽

Text Categorization ◽

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An Empirical Study of Feature Selection for Text Categorization based on Term Weightage

IEEE/WIC/ACM International Conference on Web Intelligence (WI'04) ◽

10.1109/wi.2004.10060 ◽

2005 ◽

Author(s):

Bong Chih How ◽

K. Narayanan

Keyword(s):

Feature Selection ◽

Empirical Study ◽

Text Categorization ◽

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CLDA: Feature Selection for Text Categorization Based on Constrained LDA

International Conference on Semantic Computing (ICSC 2007) ◽

10.1109/icsc.2007.108 ◽

2007 ◽

Author(s):

Cui Zifeng ◽

Xu Baowen ◽

Zhang Weifeng ◽

Jiang Dawei ◽

Xu Junling

Keyword(s):

Feature Selection ◽

Text Categorization ◽

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An Empirical Study on Wrapper-Based Feature Selection for Software Engineering Data

2013 12th International Conference on Machine Learning and Applications ◽

10.1109/icmla.2013.110 ◽

2013 ◽

Author(s):

Huanjing Wang ◽

Taghi M. Khoshgoftaar ◽

Amri Napolitano

Keyword(s):

Feature Selection ◽

Software Engineering ◽

Empirical Study ◽

Engineering Data ◽

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A Probabilistic Approach to Feature Selection for Multi-class Text Categorization

Advances in Neural Networks – ISNN 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72383-7_153 ◽

2007 ◽

pp. 1310-1317 ◽

Author(s):

Ke Wu ◽

Bao-Liang Lu ◽

Masao Uchiyama ◽

Hitoshi Isahara

Keyword(s):

Feature Selection ◽

Text Categorization ◽

Probabilistic Approach ◽

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Aggressive Dimensionality Reduction with Reinforcement Local Feature Selection for Text Categorization

Artificial Intelligence and Computational Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-16530-6_43 ◽

2010 ◽

pp. 365-372 ◽

Author(s):

Wenbin Zheng ◽

Yuntao Qian

Keyword(s):

Feature Selection ◽

Dimensionality Reduction ◽

Text Categorization ◽

Local Feature ◽

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An empirical study on pareto based multi-objective feature selection for software defect prediction

Journal of Systems and Software ◽

10.1016/j.jss.2019.03.012 ◽

2019 ◽

Vol 152 ◽

pp. 215-238 ◽

Author(s):

Chao Ni ◽

Xiang Chen ◽

Fangfang Wu ◽

Yuxiang Shen ◽

Qing Gu

Keyword(s):

Feature Selection ◽

Empirical Study ◽

Defect Prediction ◽

Software Defect Prediction ◽

Multi Objective ◽

Software Defect ◽

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Feature selection for text categorization on imbalanced data

ACM SIGKDD Explorations Newsletter ◽

10.1145/1007730.1007741 ◽

2004 ◽

Vol 6 (1) ◽

pp. 80-89 ◽

Author(s):

Zhaohui Zheng ◽

Xiaoyun Wu ◽

Rohini Srihari

Keyword(s):

Feature Selection ◽

Text Categorization ◽

Imbalanced Data ◽

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An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data

2012 11th International Conference on Machine Learning and Applications ◽

10.1109/icmla.2012.60 ◽

2012 ◽

Author(s):

Huanjing Wang ◽

Taghi M. Khoshgoftaar ◽

Amri Napolitano

Keyword(s):

Feature Selection ◽

Software Engineering ◽

Empirical Study ◽

Engineering Data ◽

Selection For ◽

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Improved information gain-based feature selection for text categorization

2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE) ◽

10.1109/vitae.2014.6934421 ◽

2014 ◽

Author(s):

Zhe Gao ◽

Yajing Xu ◽

Fanyu Meng ◽

Feng Qi ◽

Zhiqing Lin

Keyword(s):

Feature Selection ◽

Text Categorization ◽

Information Gain ◽

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