Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]

Saeed, Z; Ayaz Abbasi, R; Razzak, MI; Xu, G

Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]

Saeed, Z Ayaz Abbasi, R Razzak, MI

Xu, G

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Publication Type:: Journal Article
Citation:: IEEE Computational Intelligence Magazine, 2019, 14 (3), pp. 29 - 38
Issue Date:: 2019-08-01

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Field	Value	Language
dc.contributor.author	Saeed, Z	en_US
dc.contributor.author	Ayaz Abbasi, R	en_US
dc.contributor.author	Razzak, MI https://orcid.org/0000-0002-3930-6600	en_US
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663	en_US
dc.date.available	2021-08-12T19:00:39Z
dc.date.issued	2019-08-01	en_US
dc.identifier.citation	IEEE Computational Intelligence Magazine, 2019, 14 (3), pp. 29 - 38	en_US
dc.identifier.issn	1556-603X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/134907
dc.description.abstract	© 2019 IEEE. Once an event is detected, WDHG approach suppresses the bursty keywords at subsequent time intervals. This characteristic enables other related information to be more visible and helps in capturing new and emerging events.	en_US
dc.relation	http://purl.org/au-research/grants/arc/LP140100937
dc.relation.ispartof	IEEE Computational Intelligence Magazine	en_US
dc.relation.isbasedon	10.1109/MCI.2019.2919395	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	14	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	0802 Computation Theory and Mathematics	en_US
utslib.for	0906 Electrical and Electronic 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/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	14	en_US

Abstract:

© 2019 IEEE. Once an event is detected, WDHG approach suppresses the bursty keywords at subsequent time intervals. This characteristic enables other related information to be more visible and helps in capturing new and emerging events.

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

http://hdl.handle.net/10453/134907