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Unsupervised machine learning for identifying key risk factors contributing to construction delays Cover

Unsupervised machine learning for identifying key risk factors contributing to construction delays

Organization, Technology and Management in Construction: an International Journal
Volume 16 (2024): Issue 1 (January 2024)
By: Fuad Al-Bataineh,  Ahmed Ali Khatatbeh and  Yazan Alzubi  
Open Access
|Aug 2024

Authors

Fuad Al-Bataineh

Department of Civil Engineering, Faculty of Engineering, Al-al Bayt University, Mafraq, Jordan

Ahmed Ali Khatatbeh

Department of Civil Engineering, Faculty of Engineering, Al-al Bayt University, Mafraq, Jordan

Yazan Alzubi

yazan.alzubi@bau.edu.jo

Department of Civil Engineering, Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan
DOI: https://doi.org/10.2478/otmcj-2024-0014 | Journal eISSN: 1847-6228 | Journal ISSN: 1847-5450
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Language: English
Page range: 170 - 185
Submitted on: Aug 31, 2023
|
Accepted on: Jun 26, 2024
|
Published on: Aug 8, 2024
Published by: University of Zagreb
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Machine learning,
Unsupervised learning,
Construction management,
Project management,
Delays
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2024 Fuad Al-Bataineh, Ahmed Ali Khatatbeh, Yazan Alzubi, published by University of Zagreb
This work is licensed under the Creative Commons Attribution 4.0 License.

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