文章基本信息

标题：A Study of Feature Subset Selection Methods for Dimension Reduction
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作者：Saqib Hayat ; Abdul Basit Siddiqui ; Sajid Ali Khan 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2014
卷号：7
期号：1
页码：251-266
DOI：10.14257/ijsip.2014.7.1.24
出版社：SERSC
摘要：The interest and focus for quite some time has been on Feature Selection and lot of work has been made in this field. With databases getting larger in volume so machine learning techniques are required which results in demand for feature selection. Feature selection is commonly used method for performing data mining in the field of data preprocessing that is scaled on large amount of data sets. In this paper, several kinds of feature selection methods are used which may result in different subsets of features with evaluation criterion.
关键词：Feature selection; dimension reduction; feature extraction; feature ; optimization