Title: Decision trees algorithm in the analysis of the construction site accidents
Authors: DROZD, W., KOWALIK, M.
Keywords: construction site, safety of works, decision trees
Abstract: The construction site and its elements create circumstances that are conducive to the formation of risks to work safety during the execution of works. Analysis indicates the critical importance of these factors in the set of characteristics that describe the causes of accidents in the construction industry. This article attempts to analyse the characteristics of the construction site to indicate their importance in defining the circumstances of an accident at work. The research was carried out on the basis of data from the register kept by the District Labour Inspectorate in Krakow. Main substantive tasks include isolating patterns of accidents on the site and identifying those of the analysed characteristics that are important in defining these patterns. In terms of methodology, the dissertation presents method of analysing data resources: using statistical classifiers – decision trees algorithm.
DOI: 10.22630/PNIKS.2017.26.2.21
APA style references: Drozd, W. & Kowalik, M. (2017). Decision trees algorithm in the analysis of the construction site accidents. Scientific Review Engineering and Environmental Sciences, 26 (2), 226-233. doi: 10.22630/PNIKS.2017.26.2.21
APA style citation in text: The first time citation in text: (Drozd & Kowalik, 2017), next citation: (Drozd & Kowalik, 2017)
Chicago style references: Drozd, Wojciech, Marcin Kowalik. "Decision trees algorithm in the analysis of the construction site accidents." Scientific Review Engineering and Environmental Sciences, 76 ser., vol. 26, no 2, (2017): 226-233. doi: 10.22630/PNIKS.2017.26.2.21.
Chicago style citation in text: (Drozd, and Kowalik 2017)
Bibtxt style references: @article{doi:10.22630/PNIKS.2017.26.2.21, author={Drozd, Wojciech and Kowalik, Marcin}, language={polish}, title={Decision trees algorithm in the analysis of the construction site accidents}, journal={Scientific Review Engineering and Environmental Sciences}, URL={http://iks.pn.sggw.pl/PN76/A9/art9.pdf}, year={2017}, volume={26 (2)}, number={76}, pages={226-233}}
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