Severity Prediction of Construction Site Accidents Using Simple and Ensemble Decision Trees
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-80312-4_50
Reference21 articles.
1. Govind AN, Vivek S (2019) Analysis of construction safety management in India and UAE. Int J Innovative Technol Exploring Eng 8(6):848–852
2. Houchen CAO, Yang Miang GOH (2019) Analyzing construction safety through time series methods. Front Eng Manag 6(2):262–274
3. Esmaeili B, Hallowell MR (2011) Diffusion of safety innovations in the construction industry. J Constr Eng Manag 138(8):955–963
4. Renganath K, Suresh M (2016) Analysing the drivers for safety practices using interpretive structural modelling: a case of Indian manufacturing firms. IEEE Int Conf Comput Intell Comput Res (ICCIC)
5. Bilal M, Oyedele LO, Qadir J, Munir K, Ajayi SO, Akinade OO, Owolabi HA, Alaka HA, Pasha M (2016) Big data in the construction industry: a review of present status, opportunities, and future trends. Adv Eng Inform 30(3):500–521
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