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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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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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 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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An Empirical Study on the Equivalence and Stability of Feature Selection for Noisy Software Defect Data

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering ◽

10.18293/seke2017-097 ◽

2017 ◽

Author(s):

Zhou Xu ◽

Jin Liu ◽

Zhen Xia ◽

Peipei Yuan

Keyword(s):

Feature Selection ◽

Empirical Study ◽

Software Defect ◽

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An empirical study of feature selection for classification using genetic algorithm

International Journal of Advanced Intelligence Paradigms ◽

10.1504/ijaip.2018.10011383 ◽

2018 ◽

Vol 10 (3) ◽

pp. 305

Author(s):

Amlan Chakrabarti ◽

Basabi Chakraborty ◽

Saptarsi Goswami

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Empirical Study ◽

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High-Dimensional Software Engineering Data and Feature Selection

2009 21st IEEE International Conference on Tools with Artificial Intelligence ◽

10.1109/ictai.2009.20 ◽

2009 ◽

Author(s):

Huanjing Wang ◽

Taghi M. Khoshgoftaar ◽

Kehan Gao ◽

Naeem Seliya

Keyword(s):

Feature Selection ◽

Software Engineering ◽

High Dimensional ◽

Engineering Data

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Feature selection for helpfulness prediction of online product reviews: An empirical study

PLoS ONE ◽

10.1371/journal.pone.0226902 ◽

2019 ◽

Vol 14 (12) ◽

pp. e0226902 ◽

Author(s):

Jiahua Du ◽

Jia Rong ◽

Sandra Michalska ◽

Hua Wang ◽

Yanchun Zhang

Keyword(s):

Feature Selection ◽

Empirical Study ◽

Product Reviews ◽

Online Product Reviews ◽

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An empirical study to estimate the stability of random forest classifier on the hybrid features recommended by filter based feature selection technique

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-019-00978-7 ◽

2019 ◽

Vol 11 (2) ◽

pp. 339-358

Author(s):

S. L. Shiva Darshan ◽

C. D. Jaidhar

Keyword(s):

Feature Selection ◽

Random Forest ◽

Empirical Study ◽

Random Forest Classifier ◽

Hybrid Features ◽

Feature Selection Technique ◽

Selection Technique ◽

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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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