TY - JOUR
T1 - A review of the application of data mining for sustainable construction in Nigeria
AU - Aghimien, Douglas
AU - Aigbavboa, Clinton
AU - Oke, Ayodeji
N1 - Publisher Copyright:
© 2019 The Authors. Published by Elsevier Ltd.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)Peer-review under responsibility of the scientific committee of ICAE2018 The 10th International Conference on Applied Energy.
PY - 2019
Y1 - 2019
N2 - Construction industry generates lots of data due to the constant construction activities being carried out. Using the traditional method of data analysis has become almost practically impossible as a result of the complex and voluminous nature of these data. Harnessing and putting these data to good use, can prove highly beneficial to the industry in the quest for delivering sustainable projects. This can be achieved through data mining (DM) which is seen as a form of technological advancement that aids decision making through the analysis of data from the large sea of available data. This approach has been adopted in different fields in countries around the world and appreciable results have been recorded. This study, through the review of related literature explored the concept of DM and how it can be beneficial in increasing performance within the Nigerian Construction Industry (NCI). The study discovers that the use of DM can be highly useful to the NCI as lessons learnt from projects can be transferred to others in a bid to achieve successful project delivery. The study, therefore, recommends the use of DM within the NCI as a truly beneficial tool in achieving successful and sustainable project delivery.
AB - Construction industry generates lots of data due to the constant construction activities being carried out. Using the traditional method of data analysis has become almost practically impossible as a result of the complex and voluminous nature of these data. Harnessing and putting these data to good use, can prove highly beneficial to the industry in the quest for delivering sustainable projects. This can be achieved through data mining (DM) which is seen as a form of technological advancement that aids decision making through the analysis of data from the large sea of available data. This approach has been adopted in different fields in countries around the world and appreciable results have been recorded. This study, through the review of related literature explored the concept of DM and how it can be beneficial in increasing performance within the Nigerian Construction Industry (NCI). The study discovers that the use of DM can be highly useful to the NCI as lessons learnt from projects can be transferred to others in a bid to achieve successful project delivery. The study, therefore, recommends the use of DM within the NCI as a truly beneficial tool in achieving successful and sustainable project delivery.
KW - Data Mining
KW - Nigerian Construction Industry
KW - Project Success
KW - Sustainable Construction
KW - Technological Advancement
UR - http://www.scopus.com/inward/record.url?scp=85063887168&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2019.01.996
DO - 10.1016/j.egypro.2019.01.996
M3 - Conference article
AN - SCOPUS:85063887168
SN - 1876-6102
VL - 158
SP - 3240
EP - 3245
JO - Energy Procedia
JF - Energy Procedia
T2 - 10th International Conference on Applied Energy, ICAE 2018
Y2 - 22 August 2018 through 25 August 2018
ER -