Machine Learning Technologies for Big Data Analytics

Gandomi, AH; Chen, F; Abualigah, L

Machine Learning Technologies for Big Data Analytics

Gandomi, AH Chen, F

Abualigah, L

Permalink

Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Electronics (Switzerland), 2022, 11, (3), pp. 421
Issue Date:: 2022-02-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Published versionAdobe PDF (176.11 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Gandomi, AH
dc.contributor.author	Chen, F https://orcid.org/0000-0003-4971-8729
dc.contributor.author	Abualigah, L
dc.date.accessioned	2023-03-28T03:39:33Z
dc.date.available	2023-03-28T03:39:33Z
dc.date.issued	2022-02-01
dc.identifier.citation	Electronics (Switzerland), 2022, 11, (3), pp. 421
dc.identifier.issn	1450-5843
dc.identifier.issn	2079-9292
dc.identifier.uri	http://hdl.handle.net/10453/168703
dc.description.abstract	<jats:p>Big data analytics is one high focus of data science and there is no doubt that big data is now quickly growing in all science and engineering fields [...]</jats:p>
dc.language	en
dc.publisher	MDPI
dc.relation.ispartof	Electronics (Switzerland)
dc.relation.isbasedon	10.3390/electronics11030421
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.title	Machine Learning Technologies for Big Data Analytics
dc.type	Journal Article
utslib.citation.volume	11
utslib.for	0906 Electrical and Electronic Engineering
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	2023-03-28T03:39:32Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	11
utslib.citation.issue	3

Abstract:

Big data analytics is one high focus of data science and there is no doubt that big data is now quickly growing in all science and engineering fields [...]

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

http://hdl.handle.net/10453/168703