Items with Index Term: data mining

Abdollahipour, S (2013) Multi-parameter bidding in highway construction and rehabilitation projects. PhD thesis, Oklahoma State University, USA.

Abdul Nabi, M (2023) Promoting enhanced decision-making and proactive management for modularization in the construction industry using risk-based approach, analytical hierarchy process, and graph theory. PhD thesis, Missouri University of Science and Technology, USA.

Abounia Omran, B (2016) Application of data mining and big data analytics in the construction industry. PhD thesis, Ohio State University, USA.

Adekunle, S A; Aigbavboa, C O and Ejohwomu, O A (2022) Understanding the BIM actor role: A study of employer and employee preference and availability in the construction industry. Engineering, Construction and Architectural Management, 31(13), pp. 160-180. ISSN 0969-9988

Ahiaga-Dagbui, D D and Smith, S D (2014) Dealing with construction cost overruns using data mining. Construction Management and Economics, 32(7-8), pp. 682-694. ISSN 01446193

Ahiaga-Dagbui D D, S S D (2013) My cost runneth over: Data mining to reduce construction cost overruns. In: Smith, S D and Ahiaga-Dagbui, D D (eds.) Proceedings of 29th Annual ARCOM Conference, 2-4 September 2013, Reading, UK.

Ahmed, V; Aziz, Z; Tezel, A and Riaz, Z (2018) Challenges and drivers for data mining in the AEC sector. Engineering, Construction and Architectural Management, 25(11), pp. 1436-1453. ISSN 0969-9988

Aibinu, A A; Dassanayake, D; Chan, T-K and Thangaraj, R (2015) Cost estimation for electric light and power elements during building design: A neural network approach. Engineering, Construction and Architectural Management, 22(2), pp. 190-213. ISSN 0969-9988

Akhavian, R and Behzadan, A H (2013) Knowledge-based simulation modeling of construction fleet operations using multimodal-process data mining. Journal of Construction Engineering and Management, 139(11): 4013021, ISSN 0733-9364

Aldaghi, T and Javanmard, S (2023) The evaluation of wastewater treatment plant performance: A data mining approach. Journal of Engineering, Design and Technology, 21(6), pp. 1785-1802. ISSN 1726-0531

Alshboul, O; Shehadeh, A; Al-Kasasbeh, M; Al Mamlook, R E; Halalsheh, N and Alkasasbeh, M (2022) Deep and machine learning approaches for forecasting the residual value of heavy construction equipment: A management decision support model. Engineering, Construction and Architectural Management, 29(10), pp. 4153-4176. ISSN 0969-9988

Aluko, R O; Daniel, E I; Shamsideen Oshodi, O; Aigbavboa, C O and Abisuga, A O (2018) Towards reliable prediction of academic performance of architecture students using data mining techniques. Journal of Engineering, Design and Technology, 16(3), pp. 385-397. ISSN 1726-0531

Andalib, M (2026) Predictive modelling for contract selection in construction through data mining and machine learning: Insights from agency theory. International Journal of Construction Education and Research, 22(1), pp. 138-163. ISSN 1557-8771

Art Chaovalitwongse, W; Wang, W; Williams, T P and Chaovalitwongse, P (2012) Data mining framework to optimize the bid selection policy for competitively bid highway construction projects. Journal of Construction Engineering and Management, 138(2), pp. 277-286. ISSN 0733-9364

Assaad, R and El-Adaway, I H (2021) Determining critical combinations of safety fatality causes using spectral clustering and computational data mining algorithms. Journal of Construction Engineering and Management, 147(5): 04021035, ISSN 0733-9364

Ayat, M; Kim, B and Kang, C W (2023) A new data mining-based framework to predict the success of private participation in infrastructure projects. International Journal of Construction Management, 23(13), pp. 2151-2159. ISSN 1562-3599

Bonanomi, M M; Hall, D M; Staub-French, S; Tucker, A and Talamo, C M L (2020) The impact of digital transformation on formal and informal organizational structures of large architecture and engineering firms. Engineering, Construction and Architectural Management, 27(4), pp. 872-892. ISSN 0969-9988

Bonham, D R (2015) The derivation and implications of a master code of accounts for mechanical piping systems. PhD thesis, University of Colorado at Boulder, USA.

Bonham, D R; Goodrum, P M; Littlejohn, R and Albattah, M A (2017) Application of data mining techniques to quantify the relative influence of design and installation characteristics on labor productivity. Journal of Construction Engineering and Management, 143(8): 04017052, ISSN 0733-9364

Brandín, R and Abrishami, S (2021) Information traceability platforms for asset data lifecycle: Blockchain-based technologies. Smart and Sustainable Built Environment, 10(3), pp. 364-386. ISSN 2046-6099

Bröchner, J (2018) Construction economics and economics journals. Construction Management and Economics, 36(3), pp. 175-180. ISSN 01446193

Chen, Q; Tian, Z; Lei, T and Huang, S (2023) An association rule mining model for evaluating the potential correlation of construction cross operation risk. Engineering, Construction and Architectural Management, 30(10), pp. 5109-5132. ISSN 0969-9988

Chinazzo, G (2021) Investigating the indoor environmental quality of different workplaces through web-scraping and text-mining of glassdoor reviews. Building Research & Information, 49(6), pp. 695-713. ISSN 0961-3218

Cusumano, L; Olsson, N; Granath, M; Jockwer, R and Rempling, R (2025) Clustering techniques and keyword extraction with large language models for knowledge discovery in building defects data. Construction Innovation, 25(7), pp. 76-97. ISSN 1471-4175

Deepa, G; Niranjana, A J and Balu, A S (2025) A hybrid machine learning approach for early cost estimation of pile foundations. Journal of Engineering, Design and Technology, 23(1), pp. 306-322. ISSN 1726-0531

Deng, Y; Liu, Z; Song, L; Ni, G and Xu, N (2024) Exploring the metro construction accidents and causations for improving safety management based on data mining and network theory. Engineering, Construction and Architectural Management, 31(9), pp. 3508-3532. ISSN 0969-9988

Derakhshanfar, Hossein (2021) A delay risk management framework for construction projects: Learning from past experiences. PhD thesis, University of South Australia, Australia.

Do, S T; Nguyen, V T and Banlasan, D (2024) Social media sensing framework for urban infrastructure management: A Philippine case study. Construction Innovation, 24(4), pp. 1117-1136. ISSN 1471-4175

Elkholosy, H; Ead, R; Hammad, A and AbouRizk, S (2024) Data mining for forecasting labor resource requirements: A case study of project management staffing requirements. International Journal of Construction Management, 24(5), pp. 561-572. ISSN 1562-3599

Fan, H (2007) Leveraging operational data for intelligent decision support in construction equipment management. PhD thesis, University of Alberta, Canada.

Feng, K (2020) Environmentally friendly construction processes under uncertainty assessment, optimisation and robust decision-making. PhD thesis, Luleå University of Technology, Sweden.

Fu, J; Tian, H; Song, L; Li, M; Bai, S and Ren, Q (2021) Productivity estimation of cutter suction dredger operation through data mining and learning from real-time big data. Engineering, Construction and Architectural Management, 28(7), pp. 2023-2041. ISSN 0969-9988

Gerassis, S; Martín, J E; García, J T; Saavedra, A and Taboada, J (2017) Bayesian decision tool for the analysis of occupational accidents in the construction of embankments. Journal of Construction Engineering and Management, 143(2): 04016093, ISSN 0733-9364

Ghazal, M M and Hammad, A (2022) Application of knowledge discovery in database (KDD) techniques in cost overrun of construction projects. International Journal of Construction Management, 22(9), pp. 1632-1646. ISSN 1562-3599

Gholizadeh, P (2022) Analyzing accidents among specialty contractors: A data mining approach. PhD thesis, George Mason University, USA.

Goh, Y M and Binte Sa'Adon, N F (2015) Cognitive factors influencing safety behavior at height: A multimethod exploratory study. Journal of Construction Engineering and Management, 141(6): 04015003, ISSN 0733-9364

Guerra, B C; Koo, H J; Caldas, C and Leite, F (2024) Prediction of waste diversion and identification of trends in construction and demolition waste data using data mining. International Journal of Construction Management, 24(4), pp. 374-383. ISSN 1562-3599

Gurmu, A; Hosseini, M R; Arashpour, M and Lioeng, W (2025) Development of building defects dashboards and stochastic models for multi-storey buildings in Victoria, Australia. Construction Innovation, 25(2), pp. 594-619. ISSN 1471-4175

Hassane Assaad, R (2021) Innovative modeling and management of infrastructure systems, engineering and construction operations, and offsite construction technology using computational data analytics. PhD thesis, Missouri University of Science and Technology, USA.

He, X; Liu, R and Anumba, C J (2021) Data-driven insights on the knowledge gaps of conceptual cost estimation modeling. Journal of Construction Engineering and Management, 147(2): 04020165, ISSN 0733-9364

Jacobsen, E L; Solberg, A; Golovina, O and Teizer, J (2022) Active personalized construction safety training using run-time data collection in physical and virtual reality work environments. Construction Innovation, 22(3), pp. 531-553. ISSN 1471-4175

Ji, S H; Park, M and Lee, H S (2010) Data preprocessing-based parametric cost model for building projects: Case studies of Korean construction projects. Journal of Construction Engineering and Management, 136(8), pp. 844-853. ISSN 0733-9364

Ji, W; Abourizk, S M; Zaïane, O R and Li, Y (2018) Complexity analysis approach for prefabricated construction products using uncertain data clustering. Journal of Construction Engineering and Management, 144(8): 04018063, ISSN 0733-9364

Jonnalagadda, S (2016) Artificial neural networks, non linear auto regression networks (NARX) and causal loop diagram approaches for modelling bridge infrastructure conditions. PhD thesis, Clemson University, USA.

Kamal, P and Ahuja, S (2019) An ensemble-based model for prediction of academic performance of students in undergrad professional course. Journal of Engineering, Design and Technology, 17(4), pp. 769-781. ISSN 1726-0531

Kim, H (2002) Knowledge discovery and machine learning in construction project databases. PhD thesis, University of Illinois at Urbana-Champaign, USA.

Kim, J; Hyun, J-Y; Chong, W K and Ariaratnam, S (2017) Understanding the effects of environmental factors on building energy efficiency designs and credits: Case studies using data mining and real-time data. Journal of Engineering, Design and Technology, 15(3), pp. 270-285.

King, C J (2012) Project management skills of the future. PhD thesis, Arizona State University, USA.

Kristinsdottir, A (2012) Risks and decision making in development of new power plant projects. PhD thesis, Massachusetts Institute of Technology, USA.

Lee, S (2018) Investigating the relationship between energy consumption, CO2 emissions, and the factors affecting them in the United States building sector: A macro and micro view. PhD thesis, Arizona State University, USA.

Li, J; Wang, H; Xie, Y and Zeng, W (2020) Human error identification and analysis for shield machine operation using an adapted tracer method. Journal of Construction Engineering and Management, 146(8): 04020095, ISSN 0733-9364

Liao, M C; Hsieh, T Y and Wang, W H (2024) Management of gross negligence manslaughter liability construction for professionals and lessons learned. Engineering, Construction and Architectural Management, 31(12), pp. 4942-4954. ISSN 0969-9988

Lu, W; Tam, V W Y; Chen, H and Du, L (2020) A holistic review of research on carbon emissions of green building construction industry. Engineering, Construction and Architectural Management, 27(5), pp. 1065-1092. ISSN 0969-9988

Lu, Y and Zhang, J (2022) Bibliometric analysis and critical review of the research on big data in the construction industry. Engineering, Construction and Architectural Management, 29(9), pp. 3574-3592. ISSN 0969-9988

Luo, Q; Sun, C; Dan, Y; Zhao, T and Zhang, G (2026) Unraveling safety risk coupling in prefabricated steel construction via data mining. Journal of Construction Engineering and Management, 152(3): 04025281, ISSN 0733-9364

Ma, J (2016) A data driven study on LEED credits and green building related implications in city planning. PhD thesis, Hong Kong University of Science and Technology, Hong Kong.

Marzouk, M and Enaba, M (2019) Analyzing project data in BIM with descriptive analytics to improve project performance. Built Environment Project and Asset Management, 9(4), pp. 476-488. ISSN 2044-124X

Mohsen, Osama (2021) A machine learning approach to predict production time in industrialized building construction. PhD thesis, University of Alberta, Canada.

Morbitzer, C A (2003) Towards the integration of simulation into the building design process. PhD thesis, University of Strathclyde, UK.

Mostafa, K and Hegazy, T (2025) Smart rehabilitation-planning framework for sustainable infrastructure: Roofing application. Journal of Construction Engineering and Management, 151(2): 04024203, ISSN 0733-9364

Mujalli, R O; Marie, I and Al-Kasasbeh, M (2024) Consequences of COVID-19 on jordan's construction sector using data mining techniques. International Journal of Construction Management, 24(12), pp. 1339-1348. ISSN 1562-3599

Pereira, P F; Ramos, N M M and Simões, M L (2020) Data-driven occupant actions prediction to achieve an intelligent building. Building Research & Information, 48(5), pp. 485-500. ISSN 0961-3218

Perng, Y H and Chang, C L (2004) Data mining for government construction procurement. Building Research & Information, 32(4), pp. 329-338. ISSN 0961-3218

Petrova, E (2019) AI for BIM-based sustainable building design: Integrating knowledge discovery and semantic data modelling for evidence-based design decision support. PhD thesis, Aalborg University, Denmark.

Petrova, E; Pauwels, P; Svidt, K and Jensen, R L (2019) Towards data-driven sustainable design: Decision support based on knowledge discovery in disparate building data. Architectural Engineering and Design Management, 15(5), pp. 334-356. ISSN 1745-2007

Qiao, J; Wang, C; Guan, S and Shuran, L (2022) Construction-accident narrative classification using shallow and deep learning. Journal of Construction Engineering and Management, 148(9): 04022088, ISSN 0733-9364

Sadeghi, B (2024) Selecting Industry 4.0 technologies for construction activities using clustering analysis and text mining. PhD thesis, University of Wisconsin - Milwaukee, USA.

Salvado, F; Almeida, N and Vale e Azevedo, A (2020) Aligning financial and functional equivalent depreciations rates of building assets. Engineering, Construction and Architectural Management, 27(2), pp. 441-457. ISSN 0969-9988

Shafaat, A (2016) Designing project systems in presence of variations. PhD thesis, Purdue University, USA.

Shafaat, A; Marbouti, F and Mahfouz, T (2023) Early warning system for highway construction projects using GA-SVM. International Journal of Construction Management, 23(14), pp. 2348-2357. ISSN 1562-3599

Shao, L; Guo, S; Dong, Y; Niu, H and Zhang, P (2023) Cause analysis of construction collapse accidents using association rule mining. Engineering, Construction and Architectural Management, 30(9), pp. 4120-4142. ISSN 0969-9988

Shayboun, M; Kifokeris, D and Koch, C (2020) Machine learning for analysis of occupational accidents registration data. In: Scott, L and Neilson, C J (eds.) Proceedings of 36th Annual ARCOM Conference, 7-8 September 2020, Online Event, UK.

Smith, J and Wyatt, R (1999) Strategic needs analysis: Preliminary results. In: Hughes, W (ed.) Proceedings of 15th Annual ARCOM Conference, 15-17 September 1999, Liverpool, UK.

Sung, W-K (2017) Factors motivating construction safety knowledge sharing in online social media. PhD thesis, University of Hong Kong, Hong Kong.

Tam, C M; Tong, T K L and Chan, K K (2006) Rough set theory for distilling construction safety measures. Construction Management and Economics, 24(11), pp. 1199-1206. ISSN 1466433X

Toosi, H; Ghaaderi, M A and Shokrani, Z (2022) Comparative study of academic research on project management in Iran and the world with text mining approach and tf–idf method. Engineering, Construction and Architectural Management, 29(3), pp. 1553-1583. ISSN 0969-9988

V E, S; Shin, C and Cho, Y (2021) Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart city. Building Research & Information, 49(1), pp. 127-143. ISSN 0961-3218

Wang, J (2004) Hybrid genetic algorithms for reliability assessment of structural system. PhD thesis, City University of New York, USA.

Wang, J (2023) Direct policy search for adaptive management of flood risk. PhD thesis, Purdue University, USA.

Wang, Li (2014) Knowledge formalization and reuse in BIM-based mechanical, electrical and plumbing design coordination in new construction projects using data mining techniques. PhD thesis, University of Texas at Austin, USA.

Wang, X; Huang, X; Luo, Y; Pei, J and Xu, M (2018) Improving workplace hazard identification performance using data mining. Journal of Construction Engineering and Management, 144(8): 04018068, ISSN 0733-9364

Wang, Y and Shao, L (2018) Understanding occupancy and user behaviour through Wi-Fi-based indoor positioning. Building Research & Information, 46(7), pp. 725-737. ISSN 0961-3218

Wu, Z.; Liu, M.; Ma, G. and Jiang, S. (2026) A hybrid forecasting model to improve cost prediction accuracy in green building projects with machine learning. Engineering, Construction and Architectural Management, 33(4), pp. 3375-3402. ISSN 0969-9988

Xie, L L; Chen, Y; Wu, S; Chang, R D and Han, Y (2024) Knowledge extraction for solving resource-constrained project scheduling problem through decision tree. Engineering, Construction and Architectural Management, 31(7), pp. 2852-2877. ISSN 0969-9988

Xiong, B; Newton, S; Li, V; Skitmore, M and Xia, B (2019) Hybrid approach to reducing estimating overfitting and collinearity. Engineering, Construction and Architectural Management, 26(10), pp. 2170-2185. ISSN 0969-9988

Yun, S and Caldas, C H (2009) Analysing decision variables that influence preliminary feasibility studies using data mining techniques. Construction Management and Economics, 27(1), pp. 73-87. ISSN 1466433X

Zahiroddiny, S (2016) Understanding the impact of building information modelling (BIM) on construction projects' communication patterns. PhD thesis, University of Northumbria at Newcastle, UK.

Zhang, S; Jiang, P; Zhang, Z and Wang, C (2021) Webgis-based collaborative construction quality control of rcc gravity dam using sensing devices. Journal of Construction Engineering and Management, 147(3): 06020004, ISSN 0733-9364

Zhang, X; Wang, M; Zhou, B and Wang, X (2018) Influence of factors on collapse risk of loess tunnel: A multi-index assessment model. Journal of Engineering, Design and Technology, 16(5), pp. 734-749. ISSN 1726-0531

Zheng, J; Wen, Q and Qiang, M (2020) Understanding demand for project manager competences in the construction industry: Data mining approach. Journal of Construction Engineering and Management, 146(8): 04020083, ISSN 0733-9364

Zhou, Y (2012) Construction knowledge mining and application of generalized fuzzy network in construction decision management. PhD thesis, Hong Kong Polytechnic University, Hong Kong.

Zou, Y (2017) BIM and knowledge based risk management system. PhD thesis, University of Liverpool, UK.

Zou, Y (2017) Building information modelling and knowledge-based risk management system. PhD thesis, University of Liverpool, UK.

Zou, Y; Kiviniemi, A and Jones, S W (2016) Developing a tailored rbs linking to BIM for risk management of bridge projects. Engineering, Construction and Architectural Management, 23(6), pp. 727-750. ISSN 0969-9988

van Niekerk, J; Wium, J and de Koker, N (2022) The value of data from construction project site meeting minutes in predicting project duration. Built Environment Project and Asset Management, 12(5), pp. 738-753. ISSN 2044-124X