Data mining in the construction industry: Present status, opportunities, and future trends

H Yan, N Yang, Y Peng, Y Ren - Automation in Construction, 2020 - Elsevier
The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …

Determining the critical risk factors for predicting the severity of ship collision accidents using a data-driven approach

H Lan, X Ma, W Qiao, W Deng - Reliability Engineering & System Safety, 2023 - Elsevier
Ship collision accidents often result in serious casualties and property losses. Predicting the
severity of ship collisions is beneficial to improve maritime transport safety. Therefore, this …

Digital twin-based safety risk coupling of prefabricated building hoisting

Z Liu, X Meng, Z Xing, A Jiang - Sensors, 2021 - mdpi.com
Safety management in hoisting is the key issue to determine the development of
prefabricated building construction. However, the security management in the hoisting stage …

Interactions among safety risks in metro deep foundation pit projects: An association rule mining-based modeling framework

L Fu, X Wang, H Zhao, M Li - Reliability Engineering & System Safety, 2022 - Elsevier
The deep foundation pit project (DFPP) in subway construction is characterized by a high
accident rate. Insufficient examination of the interactions among relevant safety risks often …

Risk prediction and early warning for air traffic controllers' unsafe acts using association rule mining and random forest

R Xu, F Luo - Safety science, 2021 - Elsevier
In the context of big data, scientific judgment of the future trend or state of unsafe acts of air
traffic controllers (ATCers) plays an important role in the prevention of unsafe incidents …

Pattern investigation of total loss maritime accidents based on association rule mining

H Lan, X Ma, L Ma, W Qiao - Reliability Engineering & System Safety, 2023 - Elsevier
Total loss of a ship is the most serious consequence of maritime accidents, which not only
brings huge property losses, but causes serious human casualties and environmental …

On the causation of seafarers' unsafe acts using grounded theory and association rule

H Lan, X Ma, W Qiao, L Ma - Reliability Engineering & System Safety, 2022 - Elsevier
Unsafe acts of seafarers have been widely recognized as the direct causes of maritime
accidents. Previous studies have demonstrated the significant role of unsafe acts, and …

A hybrid data-driven model for geotechnical reliability analysis

W Liu, A Li, W Fang, PED Love, T Hartmann… - Reliability Engineering & …, 2023 - Elsevier
Tunnel boring machines are widely used to construct underground rail networks in urban
areas. However, ground settlement due to complex geological conditions is an ever-present …

A methodology to quantify the risk propagation of hazardous events for ship grounding accidents based on directed CN

X Ma, W Deng, W Qiao, H Lan - Reliability Engineering & System Safety, 2022 - Elsevier
An innovative methodology is proposed to address the coupling and correlation involved in
the hazardous events contributing to ship grounding accidents. Based on the principle of a …

Core and spectrum allocation based on association rules mining in spectrally and spatially elastic optical networks

Q Yao, H Yang, B Bao, A Yu, J Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The combination of space division multiplexing technology with elastic optical networks
allows to overcome the possible capacity crunch in backbone networks and also improves …