article

Recent advances in feature selection and its applications

Authors:

Huan LiuAuthors Info & Claims

Knowledge and Information Systems, Volume 53, Issue 3

Pages 551 - 577

https://doi.org/10.1007/s10115-017-1059-8

Published: 01 December 2017 Publication History

Abstract

Feature selection is one of the key problems for machine learning and data mining. In this review paper, a brief historical background of the field is given, followed by a selection of challenges which are of particular current interests, such as feature selection for high-dimensional small sample size data, large-scale data, and secure feature selection. Along with these challenges, some hot topics for feature selection have emerged, e.g., stable feature selection, multi-view feature selection, distributed feature selection, multi-label feature selection, online feature selection, and adversarial feature selection. Then, the recent advances of these topics are surveyed in this paper. For each topic, the existing problems are analyzed, and then, current solutions to these problems are presented and discussed. Besides the topics, some representative applications of feature selection are also introduced, such as applications in bioinformatics, social media, and multimedia retrieval.

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cover image Knowledge and Information Systems

Knowledge and Information Systems Volume 53, Issue 3

December 2017

278 pages

ISSN:0219-1377

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https://dl.acm.org/doi/10.3233/THC-230161
Yao GHu XSong PZhou TZhang YYasir ALuo S(2024)AdaFNDFSInternational Journal of Intelligent Systems10.1155/2024/55298472024Online publication date: 1-Jan-2024
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Sun ZChen ZLiu JChen YYu Y(2024)Partial multi-label feature selection via low-rank and sparse factorization with manifold learningKnowledge-Based Systems10.1016/j.knosys.2024.111899296:COnline publication date: 19-Jul-2024
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