Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining

Xuan, J; Lu, J; Zhang, G

Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining

Xuan, J

Lu, J Zhang, G

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Publisher:: Association for Computing Machinery (ACM)
Publication Type:: Journal Article
Citation:: ACM Transactions on Intelligent Systems and Technology, 2020, 12, (1), pp. 1-22
Issue Date:: 2020-12-22

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Field	Value	Language
dc.contributor.author	Xuan, J https://orcid.org/0000-0002-8367-6908
dc.contributor.author	Lu, J
dc.contributor.author	Zhang, G
dc.date.accessioned	2021-01-13T12:14:26Z
dc.date.available	2021-01-13T12:14:26Z
dc.date.issued	2020-12-22
dc.identifier.citation	ACM Transactions on Intelligent Systems and Technology, 2020, 12, (1), pp. 1-22
dc.identifier.issn	2157-6904
dc.identifier.issn	2157-6912
dc.identifier.uri	http://hdl.handle.net/10453/145399
dc.language	en
dc.publisher	Association for Computing Machinery (ACM)
dc.relation	http://purl.org/au-research/grants/arc/DP190101733
dc.relation	http://purl.org/au-research/grants/arc/DE200100245
dc.relation	University of Technology Sydney
dc.relation.ispartof	ACM Transactions on Intelligent Systems and Technology
dc.relation.isbasedon	10.1145/3420034
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0806 Information Systems
dc.title	Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining
dc.type	Journal Article
utslib.citation.volume	12
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0806 Information Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2021-01-13T12:14:19Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	12
utslib.citation.issue	1

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/145399