An improved oversampling algorithm based on the samples' selection strategy for classifying imbalanced data

DOI10.1155/2019/3526539zbMath1435.62250OpenAlexW2943284727MaRDI QIDQ2298314

Gongqian Liang, Wenhao Xie, Zhonghui Dong, Baoyu Tan, Baosheng Zhang

Publication date: 20 February 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/3526539

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10)

Uses Software

• SMOTEBoost
• SMOTE

Cites Work

• Unnamed Item
• Reduction techniques for instance-based learning algorithms
• Robust Bayes classifiers
• Random forests

This page was built for publication: An improved oversampling algorithm based on the samples' selection strategy for classifying imbalanced data