TCR-M: A Topic Change Recognition-based Method for Data Stream Learning

Wang, K

Lu, J Liu, A Zhang, G

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Field	Value	Language
dc.contributor.author	Wang, K https://orcid.org/0000-0003-2711-6233
dc.contributor.author	Lu, J
dc.contributor.author	Liu, A
dc.contributor.author	Zhang, G
dc.date.accessioned	2024-02-07T04:38:17Z
dc.date.available	2024-02-07T04:38:17Z
dc.date.issued	2023
dc.identifier.citation	Procedia Computer Science, 2023, 225, pp. 3001-3010
dc.identifier.issn	1877-0509
dc.identifier.uri	http://hdl.handle.net/10453/175423
dc.language	en
dc.publisher	Elsevier
dc.relation	http://purl.org/au-research/grants/arc/DP200100700
dc.relation.ispartof	Procedia Computer Science
dc.relation.isbasedon	10.1016/j.procs.2023.10.293
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	08 Information and Computing Sciences, 10 Technology
dc.subject.classification	46 Information and computing sciences
dc.title	TCR-M: A Topic Change Recognition-based Method for Data Stream Learning
dc.type	Journal Article
utslib.citation.volume	225
utslib.for	08 Information and Computing Sciences
utslib.for	10 Technology
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2024-02-07T04:38:16Z
pubs.publication-status	Published
pubs.volume	225

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