An Approach to Explore Historical Construction Accident Data Using Data Mining Techniques

  1. María Martínez Rojas 1
  2. Antonio Trillo Cabello 1
  3. Pardo Ferreira, M.ª del Carmen 1
  4. Juan Carlos Rubio Romero 1
  1. 1 Universidad de Málaga
    info

    Universidad de Málaga

    Málaga, España

    ROR https://ror.org/036b2ww28

Libro:
Advances in engineering networks: proceedings of the 12th International Conference on Industrial Engineering and Industrial Management
  1. Castro, Rodolfo de (ed. lit.)
  2. Gerusa Giménez (ed. lit.)

Editorial: Springer Suiza

ISBN: 978-3-030-44529-4,  978-3-030-44530-0

Año de publicación: 2020

Páginas: 121-128

Congreso: International Conference on Industrial Engineering and Industrial Management (12. 2018. Girona)

Tipo: Aportación congreso

DIALNET GOOGLE SCHOLAR

Resumen

Construction worksites are characterized by their dynamic and complex nature, making that work safety awareness a major concern during the project life cycle. In this regard, the analysis of historical data might be useful to identify the most frequent relationship between the variables of accidents in order to help safety practitioners in the task of prioritizing preventive actions. In this work, we propose an approach that will allow to explore unknown relations, expressed as association rules, among diverse variables from a database of construction accidents’ data. These association rules may be useful for efficient safety prevention and control.

Fuente de los datos: Dialnet