A general framework for never-ending learning from time series streams
type: Item
instance of: scholarly article
title: A general framework for never-ending learning from time series streams
zbMATH Open document ID: 1405.68281
author: Yanping Chen
author: Yuan Hao
author: Thanawin Rakthanmanon
author: Jesin Zakaria
author: Bing Hu
author: Eamonn J. Keogh
published in: Data Mining and Knowledge Discovery
publication date: 2019-01-29T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 7007778
zbMATH Keywords: never-ending learning
zbMATH Keywords: classification
zbMATH Keywords: data streams
zbMATH Keywords: time series
describes a project that uses: PhysioToolkit
describes a project that uses: UCR Suite
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: s10618-014-0388-4
OpenAlex ID: W1974283736
cites work: Q4737200
cites work: Q4426328
cites work: Classification of streaming time series under more realistic assumptions
cites work: Database Theory - ICDT 2005
cites work: Markov Chains
cites work: Active Learning
cites work: An algorithm for information structuring and retrieval
DOI: 10.1007/S10618-014-0388-4
description: scientific article; zbMATH DE number 7007778