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http://dx.doi.org/10.5345/JKIBC.2019.19.4.341

Association Rules Analysis of Safe Accidents Caused by Falling Objects  

Son, Ki-Young (School of Architectural Engineering, University of Ulsan)
Ryu, Han-Guk (Department of Architecture, Sahm Yook University)
Publication Information
Journal of the Korea Institute of Building Construction / v.19, no.4, 2019 , pp. 341-350 More about this Journal
Abstract
Construction industry is one of the most dangerous industry. As the construction accidents occur due to the repeated factors found in each accidents, there is a limitation in analyzing all types of occupational accidents by the existing descriptive analysis and statistical test. In this study, we classified safety accidents caused by falling objects among the accident types occurring at construction sites into fatal and nonfatal accidents and deduced the factors. In addition, we deduced the association rules among the safety accidents factors caused by falling objects through the association rule analysis method among the machine learning techniques. Therefore, considering the association rules for fatal and nonfatal accidents proposed in this study, it would be possible to prevent accidents by searching for countermeasures against safety accidents caused by falling objects.
Keywords
construction safety; falling objects; data science; machine learning; association rules; hierarchical clustering;
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Times Cited By KSCI : 5  (Citation Analysis)
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