Data Mining in Public Security Databases in Belém, Pará, Brazil
Resumo
Crime is a common social problem faced worldwide that can affect a nation's quality of life and economic growth. With this, the purpose of this paper is to apply data analysis and data mining techniques in public security databases in the city of Belém of Pará, in order to discover hidden patterns and assist security managers in the development of new public policies to try to reduce crime rates. Through this study, it was possible to obtain results that can help public security authorities to understand crime, as well as in making decisions about new security policies.
Referências
Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C. Wirth, R. (2000). CRISP-DM 1.0 Step-by-step data mining guide, CRISP-DM Consortium.
Farias, H. S. D. (2020). O avanço da Covid-19 e o isolamento social como estratégia para redução da vulnerabilidade. Espaço e Economia. Revista brasileira de geografia econômica, (17).
FBSP. (2022). Anuário brasileiro de segurança pública. Brasil.
Prado, K. H. J, Colaço Júnior, M. (2020). Data science aplicada á análise criminal baseada nos dados abertos governamentais de minas gerais. Research, Society and Development, 9(11):e36391110044.
Ratul, M. A. R. (2020). A comparative study on crime in Denver city based on machine learning and data mining. CoRR, abs/2001.02802.
Regateiro, H. A. S. (2021). Avaliação da criminalidade em belém e no estado do Pará. page 296.
Singh, N., Bellathanda Kaverappa, C., Joshi, J. D. (2018). Data mining for prevention of crimes. In International Conference on Human Interface and the Management of Information (pp. 705-717). Springer, Cham.