A Classification Method Based on Feature Selection for Imbalanced Data

Imbalanced data are very common in the real world, and it may deteriorate the performance of the conventional classification algorithms. In order to resolve the imbalanced classification problems, we propose an ensemble classification method that combines evolutionary under-sampling and feature sele...

Full description

Bibliographic Details
Main Authors: Yi Liu, Yanzhen Wang, Xiaoguang Ren, Hao Zhou, Xingchun Diao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8740942/