Multi-criteria feature selection on cost-sensitive data with missing values
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- 作者：Wenhao Shua ; 11112084@bjtu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Hong Shenb ; c ; shenh3@mail.sysu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Algorithm MCFS ; Multi-criteria based feature selection algorithm on cost-sensitive data with missing values
- 刊名：Pattern Recognition
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：51
- 期：Complete
- 页码：268-280
- 全文大小：795 K
文摘
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A multi-criteria based evaluation function is proposed for measuring features from different viewpoints.
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A dwindling universe is provided to accelerate the feature selection process.
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A feature selection algorithm is developed on cost-sensitive data with missing values.
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The efficiency and effectiveness of the proposed algorithm are demonstrated on different data sets.