计算机工程与应用2019，Vol.55Issue(24)：10-19,10.DOI:10.3778/j.issn.1002-8331.1909-0066
特征选择方法综述
Summary of Feature Selection Methods
摘要
Abstract
As a data preprocessing process, feature selection plays an important role in data mining, pattern recognition and machine learning. Through feature selection, the complexity of the problem can be reduced, and the prediction accuracy, robustness and interpretability of the learning algorithm can be improved. This paper introduces the framework of feature selection methods, and focuses on the two processes of generating feature subsets and evaluation criteria. The feature selection algorithms are classified according to different combinations of feature selection and learning algorithms, and the advantages and disadvantages of various methods are analyzed. The existing problems of existing feature selection algorithms are discussed, and some research difficulties and research directions are proposed.关键词
特征选择/搜索策略/评价准则/特征选择分类Key words
feature selection/search strategy/evaluation criteria/feature selection classification分类
信息技术与安全科学引用本文复制引用
李郅琴,杜建强,聂斌,熊旺平,黄灿奕,李欢..特征选择方法综述[J].计算机工程与应用,2019,55(24):10-19,10.基金项目
江西省科技厅重点研发计划(No.20171ACE50021) （No.20171ACE50021）
国家自然科学基金(No.61562045,No.61762051). （No.61562045,No.61762051）
