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作者:

Wang, Xiujuan (Wang, Xiujuan.) | Zhou, Yuchen (Zhou, Yuchen.)

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摘要:

Feature selection has become a vital issue in data mining and machine learning. But some challenges have been outstanding when trying to improve the performance of feature selection, such as small sample, uncertain classes, complex features, complementation and redundancy between each feature. In this paper, firstly the background of feature selection is introduced. Then we have presented a new perspective to analyze multi-label feature selection and provided typical papers on different classifications. To further analyze these algorithms, evaluation criterion on results of multi-label feature selection is summarized. Finally, some reflects on research directions, future works and conclusions are organized. © Published under licence by IOP Publishing Ltd.

关键词:

Feature Selection Data mining

作者机构:

  • [ 1 ] [Wang, Xiujuan]Beijing University of Technology, Faculty of Information and Technology, Beijing; 100020, China
  • [ 2 ] [Zhou, Yuchen]Beijing University of Technology, Beijing-Dublin International Technology, Beijing; 100020, China

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ISSN: 1742-6588

年份: 2023

期: 1

卷: 2504

语种: 英文

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SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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