Insights from Applying Association Rule Mining to Construction Severe Injury Reports-Reference-Cited by-同舟云学术

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Insights from Applying Association Rule Mining to Construction Severe Injury Reports

Published:2024-01-25 Issue: Volume:23 Page:656-663
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Le Chau¹²²³,Doddi Giridhari¹²²³,Ali Moriyani Muhammad¹²²³,Le Tuyen¹²²³

Affiliation:

1. Assistant Professor, Dept. of Civil, Construction, and Environmental Engineering, North Dakota State Univ., Fargo, ND.

2. Dept. of Civil, Construction, and Environmental Engineering, North Dakota State Univ., Fargo, ND.

3. Assistant Professor, Glenn Civil Engineering Dept., Clemson Univ., Clemson, SC.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485248.079

Reference10 articles.

1. Berkowitz, D., and Hedayati, H. (2017). OSHA Severe Injury Data from 29 States.

2. Bittencourt, T., David, A., Fidalgo, R. G., and Vilarinho, L. M. (2016). The Construction Industry in the 21st Century: A Global Perspective. London: Routledge.

3. Construction accidents: identification of the main associations between causes, mechanisms and stages of the construction process

4. Developing a Geospatial Framework for Severe Occupational Injuries Using Moran's I and Getis-Ord Gi* Statistics for Southeastern United States;Fahad M. G. R.;Natural Hazards Review,2022

5. A survey of itemset mining;Fournier-Viger P.;Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery,2017

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