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Conference Paper: A Gaussian Bayesian Model to identify spatio-temporal causalities for air pollution based on urban big data

TitleA Gaussian Bayesian Model to identify spatio-temporal causalities for air pollution based on urban big data
Authors
Issue Date2016
Citation
The 2nd IEEE INFOCOM Workshop on Smart Cities and Urban Computing (SmartCity 2016), San Francisco, CA., 11 April 2016. How to Cite?
DescriptionSession - Smart Cities and Urban Computing 1
Persistent Identifierhttp://hdl.handle.net/10722/232299

 

DC FieldValueLanguage
dc.contributor.authorZhu, Y-
dc.contributor.authorZheng, Y-
dc.contributor.authorYi, X-
dc.contributor.authorLi, VOK-
dc.date.accessioned2016-09-20T05:29:03Z-
dc.date.available2016-09-20T05:29:03Z-
dc.date.issued2016-
dc.identifier.citationThe 2nd IEEE INFOCOM Workshop on Smart Cities and Urban Computing (SmartCity 2016), San Francisco, CA., 11 April 2016.-
dc.identifier.urihttp://hdl.handle.net/10722/232299-
dc.descriptionSession - Smart Cities and Urban Computing 1-
dc.languageeng-
dc.relation.ispartofIEEE INFOCOM Workshop on Smart Cities and Urban Computing, SmartCity 2016-
dc.titleA Gaussian Bayesian Model to identify spatio-temporal causalities for air pollution based on urban big data-
dc.typeConference_Paper-
dc.identifier.emailZheng, Y: zhy9639@hku.hk-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLi, VOK=rp00150-
dc.identifier.hkuros265247-
dc.description.otherThe 2nd IEEE INFOCOM Workshop on Smart Cities and Urban Computing (SmartCity 2016), San Francisco, CA., 11 April 2016.-

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