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Potential opportunities and future direction of big data in the construction industry

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Main Authors: Bandi, Shamsulhadi, Amirudin, Roslan, Maaz, Zafira Nadia
Format: Conference or Workshop Item
Published: 2018
Subjects:
TD Environmental technology. Sanitary engineering
Online Access:http://eprints.utm.my/id/eprint/83302/
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spelling my.utm.833022019-10-21T00:55:34Z http://eprints.utm.my/id/eprint/83302/ Potential opportunities and future direction of big data in the construction industry Bandi, Shamsulhadi Amirudin, Roslan Maaz, Zafira Nadia TD Environmental technology. Sanitary engineering 2018 Conference or Workshop Item PeerReviewed Bandi, Shamsulhadi and Amirudin, Roslan and Maaz, Zafira Nadia (2018) Potential opportunities and future direction of big data in the construction industry. In: South East Asian Technical University Consortium SEATUC 2018.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TD Environmental technology. Sanitary engineering
spellingShingle TD Environmental technology. Sanitary engineering
Bandi, Shamsulhadi
Amirudin, Roslan
Maaz, Zafira Nadia
Potential opportunities and future direction of big data in the construction industry
format Conference or Workshop Item
author Bandi, Shamsulhadi
Amirudin, Roslan
Maaz, Zafira Nadia
author_facet Bandi, Shamsulhadi
Amirudin, Roslan
Maaz, Zafira Nadia
author_sort Bandi, Shamsulhadi
title Potential opportunities and future direction of big data in the construction industry
title_short Potential opportunities and future direction of big data in the construction industry
title_full Potential opportunities and future direction of big data in the construction industry
title_fullStr Potential opportunities and future direction of big data in the construction industry
title_full_unstemmed Potential opportunities and future direction of big data in the construction industry
title_sort potential opportunities and future direction of big data in the construction industry
publishDate 2018
url http://eprints.utm.my/id/eprint/83302/
_version_ 1651866684971024384
score 13.149126

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