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An Embedded Feature Selection Method for Imbalanced Data Classification

Haoyue Liu MengChu Zhou Qing Liu

自动化学报(英文版)2019,Vol.6Issue(3):703-715,13.
自动化学报(英文版)2019,Vol.6Issue(3):703-715,13.DOI:10.1109/JAS.2019.1911447

An Embedded Feature Selection Method for Imbalanced Data Classification

An Embedded Feature Selection Method for Imbalanced Data Classification

Haoyue Liu 1MengChu Zhou 1Qing Liu2

作者信息

  • 1. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA
  • 2. Institute of Systems Engineering, Macau University of Science and Technology, Macau 999078, China
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摘要

关键词

Classification and regression tree/feature selection/imbalanced data/weighted Gini index (WGI)

Key words

Classification and regression tree/feature selection/imbalanced data/weighted Gini index (WGI)

引用本文复制引用

Haoyue Liu,MengChu Zhou,Qing Liu..An Embedded Feature Selection Method for Imbalanced Data Classification[J].自动化学报(英文版),2019,6(3):703-715,13.

基金项目

This work was supported in part by the National Science Foundation of USA (CMMI-1162482). (CMMI-1162482)

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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