RCSMOTE: range-controlled synthetic minority over-sampling technique for handling the class imbalance problem
type: Item
instance of: scholarly article
title: RCSMOTE: range-controlled synthetic minority over-sampling technique for handling the class imbalance problem
zbMATH Open document ID: 1475.62194
author: Paria Soltanzadeh
author: Mahdi Hashemzadeh
published in: Information Sciences
publication date: 2021-11-30T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62D05
zbMATH DE Number: 7436057
zbMATH Keywords: imbalanced classification
zbMATH Keywords: imbalanced datasets
zbMATH Keywords: class imbalance problem
zbMATH Keywords: over-sampling
zbMATH Keywords: SMOTE
describes a project that uses: UCI-ml
describes a project that uses: JStatCom
describes a project that uses: C4.5
describes a project that uses: KEEL
describes a project that uses: ADASYN
describes a project that uses: MWMOTE
describes a project that uses: SMOTE
MaRDI profile type: Publication
full work available at URL: j.ins.2020.07.014
OpenAlex ID: W3042297952
cites work: Q4533353
cites work: Q4639042
cites work: Asymptotic Properties of Nearest Neighbor Rules Using Edited Data
cites work: Two Modifications of CNN
cites work: Q3093335
DOI: 10.1016/J.INS.2020.07.014
description: scientific article; zbMATH DE number 7436057