RCSMOTE: range-controlled synthetic minority over-sampling technique for handling the class imbalance problem

DOI10.1016/j.ins.2020.07.014zbMath1475.62194OpenAlexW3042297952MaRDI QIDQ2053858

Mahdi Hashemzadeh, Paria Soltanzadeh

Publication date: 30 November 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.07.014

zbMATH Keywords

over-samplingimbalanced datasetsclass imbalance problemSMOTEimbalanced classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Sampling theory, sample surveys (62D05)

Uses Software

• UCI-ml
• JStatCom
• KEEL
• C4.5
• MWMOTE
• SMOTE
• ADASYN

Cites Work

• Two Modifications of CNN
• Asymptotic Properties of Nearest Neighbor Rules Using Edited Data
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