Investigating the Role of Clustering in Construction-Accident Severity Prediction Using a Heterogeneous and Imbalanced Data Set-Reference-Cited by-同舟云学术

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Investigating the Role of Clustering in Construction-Accident Severity Prediction Using a Heterogeneous and Imbalanced Data Set

Published:2023-02 Issue:2 Volume:149 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Salarian Ali Akbar¹^ORCID,Etemadfard Hossein²,Rahimzadegan Ali³,Ghalehnovi Mansour⁴^ORCID

Affiliation:

1. Dept. of Civil Engineering, Ferdowsi Univ. of Mashhad, Mashhad 93, Iran. ORCID: .

2. Assistant Professor, Dept. of Civil Engineering, Ferdowsi Univ. of Mashhad, Mashhad 93, Iran (corresponding author).

3. Dept. of Civil Engineering, Ferdowsi Univ. of Mashhad, Mashhad 93, Iran.

4. Professor, Dept. of Civil Engineering, Ferdowsi Univ. of Mashhad, Mashhad 93, Iran. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0002406

Reference64 articles.

1. Identifying Root Causes of Construction Accidents

2. Adam A. P.-E. Josephson and G. Lindahl. 2014. “Implications of cost overruns and time delays on major public construction projects.” In Proc. 19th Int. Symp. on the Advancement of Construction Management and Real Estate. Berlin: Springer.

3. Safety assessment in megaprojects using artificial intelligence

4. Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks

5. An Analytical Network Process model for risks prioritisation in megaprojects

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