Construction site accident analysis using text mining and natural language processing techniques

Workplace safety is a major concern in many countries. Among various industries, construction sector is identified as the most hazardous work place. Construction accidents not only cause human sufferings but also result in huge financial loss. To prevent reoccurrence of similar accidents in the futu...

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Vydáno v:	Automation in construction Ročník 99; s. 238 - 248
Hlavní autoři:	Zhang, Fan, Fleyeh, Hasan, Wang, Xinru, Lu, Minghui
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.03.2019 Elsevier BV
Témata:	Accident analysis Algorithms Bayesian analysis Complex Systems – Microdata Analysis Construction accidents & safety Construction industry Construction site accident analysis Construction site accidents Decision trees Forensic engineering Komplexa system - mikrodataanalys Machine learning Natural language Natural language processing Object recognition Occupational safety Optimization Quadratic programming Regression analysis Risk analysis Risk management Sequential quadratic programming Support vector machines Text mining Weight Text mining Natural language processing Sequential quadratic programming Construction site accident analysis Optimization Machine learning
ISSN:	0926-5805, 1872-7891, 1872-7891
On-line přístup:	Získat plný text
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