Risk assessment of construction safety accidents based on association rule mining and Bayesian network
Due to the complex and dynamic nature of construction environments, safety accidents occurring in these environments pose a grave threat to life and property. Therefore, it is essential for safety managers in construction, supervisory, and related units to adopt a rigorous and systematic methodology...
Saved in:
| Main Authors: | Hui Yao, Jianjun She, Yilun Zhou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2024-09-01
|
| Series: | Journal of Intelligent Construction |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/JIC.2024.9180015 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of targeted safety hazard management plans utilizing multidimensional association rule mining
by: Xingbang Qiang, et al.
Published: (2024-12-01) -
Data Mining Implementations for Determining Root Causes and Precautions of Occupational Accidents in Underground Hard Coal Mining
by: Bilal Altındiş, et al.
Published: (2024-12-01) -
Assessment of risk priorities by cause of construction safety accidents: A case study of falling accidents in South Korea
by: Seunghyun Son, et al.
Published: (2024-12-01) -
Mining the applications to study at Lithuania's institutions of higher education using association rules
by: Ieva Mitašiūnaitė, et al.
Published: (2004-12-01) -
Dual prevention construction evaluation for coal mines based on association rule mining and cloud model
by: Zhenguo YAN, et al.
Published: (2024-11-01)