Statistics

    Map

Twitter

Data Mining Technique for Preventional Analysis of Work Accidents
( Vol-5,Issue-9,September 2018 )
Author(s):

André Gomes Barros, Juliano Said, Geórgia Regina Rodrigues Gomes, Fabrício Moraes de Almeida

Keywords:

Data Mining; KDD; Column; Occupational Accidents.

Abstract:

There are many oil companies operating in Macaé-RJ, Campos basin, they value the safety of work and the lives of its employees. These companies do a study to verify the health status of their employees' spine and result in a database with six attributes, such as: Pelvic incidence, Pelvic inclination, Lumbar lordosis angle, Sacral inclination, Pelvic radius and Degree of Spondylolisthesis. For in Brazil, recently, Social Security has released statistical studies that show back pain as leaders in the ranking of departures in the first half of 2016, a fact that directly affects the productivity of companies and health of their employees. This article aims to apply the KDD process, specifically the task of Data Mining classification, ie, classify if the employee will be fit or unfit for the job. The decision tree was the technique chosen through the algorithm J48 to verify the possibilities of treatment of the collaborators in the prevention and improvement in the working environment, and even, a change in the management was made from the results found. It resulted in inadequate staff postures, inadequate service stations, lack of training in equipment handling, lack of knowledge about cargo handling.

ijaers doi crossref DOI:

10.22161/ijaers.5.9.4

Paper Statistics:
  • Total View : 253
  • Downloads : 82
  • Page No: 022-026
Cite this Article:
MLA
André Gomes Barros et al ."Data Mining Technique for Preventional Analysis of Work Accidents". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol 5, no. 9, 2018, pp.022-026 AI Publications, doi:10.22161/ijaers.5.9.4
APA
André Gomes Barros, Juliano Said, Geórgia Regina Rodrigues Gomes, Fabrício Moraes de Almeida(2018).Data Mining Technique for Preventional Analysis of Work Accidents. International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),5(9), 022-026. http://dx.doi.org/10.22161/ijaers.5.9.4
Chicago
André Gomes Barros, Juliano Said, Geórgia Regina Rodrigues Gomes, Fabrício Moraes de Almeida. 2018,"Data Mining Technique for Preventional Analysis of Work Accidents". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).5(9):022-026. Doi: 10.22161/ijaers.5.9.4
Harvard
André Gomes Barros, Juliano Said, Geórgia Regina Rodrigues Gomes, Fabrício Moraes de Almeida. 2018,Data Mining Technique for Preventional Analysis of Work Accidents, International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).5(9), pp:022-026
IEEE
André Gomes Barros, Juliano Said, Geórgia Regina Rodrigues Gomes, Fabrício Moraes de Almeida."Data Mining Technique for Preventional Analysis of Work Accidents", International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol.5,no. 9, pp.022-026,2018.
Bibtex
@article {andrégomesbarros2018data,
title={Data Mining Technique for Preventional Analysis of Work Accidents},
author={André Gomes Barros, Juliano Said, Geórgia Regina Rodrigues Gomes, Fabrício Moraes de Almeida},
journal={International Journal of Advanced Engineering Research and Science},
volume={5},
year= {2018},
}
Share:
References:

[1] RAINATO, Thalita Alvarenga. (2016). A importância da medicina e segurança do trabalho preventiva. Revista Científica Aprender, Varginha, p.01-02, jan. 2007. Disponível em: . Acesso em: 12 mar.
[2] ALVARES, Luis Otavio. (2017). Mineração de Dados: Classificação: conceitos básicos e árvores de decisão. 2009. Disponível em: . Acesso em: 20 jun.
[3] ANDREATTA, Graziela (Org.). (2017). Dor nas costas é a principal causa de afastamento do trabalho. 2017. Disponível em: . Acesso em: 29 junho.
[4] ANUÁRIO BRASILEIRO DE PROTEÇÃO 2015: Edição Anual sobre Saúde e Segurança do Trabalho. (2015). São Paulo: Proteção Publicações Ltda., Anual.
[5] CHIAVENATO, Roberto; DRUCKER, Peter. (2005). Administração Geral. 6. ed. Rio de Janeiro: Record, 400 p.
[6] DOR NAS COSTAS É A PRINCIPAL CAUSA DE AFASTAMENTO DO TRABALHO. (2107). São Paulo: Casa Nova, 16 jul. 2016. Disponível em: . Acesso em: 11 junho.
[7] FALEIROS, Vicente de Paula. (2002). O trabalho da política: saúde e segurança dos trabalhadores . São Paulo : Makron Books.
[8] FAYYAD, U. PIATETSKY-SHAPIRO, G. and SMYTH, P. (1996). From Data Mining to Knowledge Discovery in Databases. AI magazine. P 37-54.
[9] FRAWLEY, W. J.; PIATETSKY-SHAPIRO, G.; MATHEUS, C. J. (1991). Knowledge discovery in databases: an overview. In: PIATETSKY-SHAPIRO, Gregory; FRAWLEY, William J. (Comp.). Knowledge Discovery in Databases. Santos: Aaai/mit Press, p. 1-27.
[10] MARKOV, Z.; RUSSELL, I. (2006). An Introduction to the WEKA Data Mining System Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education. P. 367 - 368. Bologna, Italy.
[11] MURASSE, C.M., TSUNODA, D.F. (2017). Descoberta de conhecimento a partir de uma base de indicadores de desenvolvimento social utilizando WEKA. Disponível em: http://www.inf.pucminas.br/sbc2010/anais/pdf/wcge/st01_02.pdf. Acessado em: junho.
[12] PASSOS, Ronaldo Goldschmidt/ Emmanuel. (2008). DATA MINING - UM GUIA PRATICO. 2005. 10 f. Administraçao-tecnologia Da Informaçao (0) - Campus, São Paulo.
[13] SCHILLING, R. S. F. (1984). More effective prevention in occupational health practice?. Occupational Medicine, v. 34, n. 3, p. 71-79.
[14] World Health Organization (WHO). (2017). International Classification of Impairments, Disabilities and Handcaps (ICIDH). A manual of classification relating to the consequences of disease. Geneve: WHO; 1980. Link: http://apps.who.int/iris/handle/10665/41003 acessado em junho/.
[15] Serviços especializados em Engenharia e em Segurança do trabalho. (2010). 6. ed. São Paulo: Saraiva, 1012 p.
[16] PROTEÇÃO: Segurança do Trabalho - Estudo de Casos. (2017). São Paulo: Sge, 2010. Disponível em: . Acesso em: 16 junho.