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Conference Paper: Scenarios for applying big data in improving construction management: a review

TitleScenarios for applying big data in improving construction management: a review
Other TitlesScenarios for Applying Big Data in Boosting Construction: A Review
Authors
Issue Date2018
PublisherSpringer.
Citation
Proceedings of the 21st International Conference on Advancement of Construction Management and Real Estate (CRIOCM 2016), Faculty of Architecture, The University of Hong Kong, Hong Kong, 14-17 December 2016, p. 1299-1306 How to Cite?
DescriptionSession 2A: Big Data
Persistent Identifierhttp://hdl.handle.net/10722/239315
ISBN

 

DC FieldValueLanguage
dc.contributor.authorChen, X-
dc.contributor.authorLu, W-
dc.date.accessioned2017-03-15T01:39:25Z-
dc.date.available2017-03-15T01:39:25Z-
dc.date.issued2018-
dc.identifier.citationProceedings of the 21st International Conference on Advancement of Construction Management and Real Estate (CRIOCM 2016), Faculty of Architecture, The University of Hong Kong, Hong Kong, 14-17 December 2016, p. 1299-1306-
dc.identifier.isbn9789811061899-
dc.identifier.urihttp://hdl.handle.net/10722/239315-
dc.descriptionSession 2A: Big Data-
dc.languageeng-
dc.publisherSpringer.-
dc.relation.ispartofInternational Conference on Advancement of Construction Management & Real Estate, CRIOCM 2016-
dc.titleScenarios for applying big data in improving construction management: a review-
dc.title.alternativeScenarios for Applying Big Data in Boosting Construction: A Review-
dc.typeConference_Paper-
dc.identifier.emailLu, W: wilsonlu@hku.hk-
dc.identifier.authorityLu, W=rp01362-
dc.identifier.doi10.1007/978-981-10-6190-5_114-
dc.identifier.hkuros271653-
dc.identifier.spage1299-
dc.identifier.epage1306-
dc.publisher.placeSingapore-

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