Chebyshev approaches for imbalanced data streams regression models
type: Item
instance of: scholarly article
title: Chebyshev approaches for imbalanced data streams regression models
zbMATH Open document ID: 1491.62055
author: Ehsan Aminian
author: Rita P. Ribeiro
author: João Gama
published in: Data Mining and Knowledge Discovery
publication date: 2022-01-14T00:00:00Z
Mathematics Subject Classification ID: 62J02
Mathematics Subject Classification ID: 62L10
zbMATH DE Number: 7457541
zbMATH Keywords: data streams
zbMATH Keywords: imbalanced data streams
zbMATH Keywords: regression
describes a project that uses: UCI-ml
describes a project that uses: KEEL
describes a project that uses: MOA
describes a project that uses: SMOTE
describes a project that uses: JStatCom
MaRDI profile type: Publication
full work available at URL: s10618-021-00793-1
OpenAlex ID: W3199166390
cites work: Q4533353
cites work: Q3093335
cites work: Knowledge Discovery from Data Streams
cites work: On evaluating stream learning algorithms
cites work: Learning model trees from evolving data streams
cites work: Noisy replication in skewed binary classification.
cites work: Imbalanced regression and extreme value prediction
DOI: 10.1007/S10618-021-00793-1
description: scientific article; zbMATH DE number 7457541