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multiple-correspondence-analysis
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Pattern extraction for high-risk accidents in the construction industry: a data-mining approach
, Article International Journal of Injury Control and Safety Promotion ; Volume 23, Issue 3 , 2016 , Pages 264-276 ; 17457300 (ISSN) ; Ardeshir, A ; Fazel Zarandi, M. H ; Soltanaghaei, E ; Sharif University of Technology
Taylor and Francis Ltd
Abstract
Accidents involving falls and falling objects (group I) are highly frequent accidents in the construction industry. While being hit by a vehicle, electric shock, collapse in the excavation and fire or explosion accidents (group II) are much less frequent, they make up a considerable proportion of severe accidents. In this study, multiple-correspondence analysis, decision tree, ensembles of decision tree and association rules methods are employed to analyse a database of construction accidents throughout Iran between 2007 and 2011. The findings indicate that in group I, there is a significant correspondence among these variables: time of accident, place of accident, body part affected, final...