Current trends of granular data mining for biomedical data analysis

Ding, W Lin, CT

Liew, AWC Triguero, I Luo, W

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The embargo period expires on 20 Feb 2022

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Field	Value	Language
dc.contributor.author	Ding, W	en_US
dc.contributor.author	Lin, CT https://orcid.org/0000-0001-8371-8197	en_US
dc.contributor.author	Liew, AWC	en_US
dc.contributor.author	Triguero, I	en_US
dc.contributor.author	Luo, W	en_US
dc.date.issued	2020-02-01	en_US
dc.identifier.citation	Information Sciences, 2020, 510 pp. 341 - 343	en_US
dc.identifier.issn	0020-0255	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137357
dc.relation.ispartof	Information Sciences	en_US
dc.relation.isbasedon	10.1016/j.ins.2019.10.002	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Current trends of granular data mining for biomedical data analysis	en_US
dc.type	Journal Article
utslib.citation.volume	510	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-02-20T00:00:00+1100
pubs.publication-status	Published	en_US
pubs.volume	510	en_US

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