Potential opportunities and future direction of big data in the construction industry
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2018
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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 |