Ferramenta para análises descritivas e preditivas em dados criminais: Um estudo de caso em Minas Gerais
This article examines the underutilization of detailed criminal data, collaborating with the Military Police of Minas Gerais, Brazil. We propose a new methodology, materialized in a tool, that is able to transform raw data into strategic information for public security decision-making. The tool evaluation unfolds in three phases: characterizing the data, a descriptive analysis of a real case study, and a predictive analysis. This work highlights the untapped potential in detailed criminal data, emphasizing the pivotal role of precise analysis in deciphering complex dynamics. Collaborating with law enforcement aims to bridge the gap between data abundance and actionable insights for effective public security strategies.
Authors
- Wagner Meira (ORCID: https://orcid.org/0000-0002-2614-2723)
- Renato Ferreira (ORCID: https://orcid.org/0000-0002-4372-8996)
- George Teodoro (ORCID: https://orcid.org/0000-0001-6289-3914)
- Leonardo Rocha (ORCID: https://orcid.org/0000-0002-4913-4902)
- Yan Andrade (ORCID: https://orcid.org/0009-0003-7243-4705)
- Matheus Pimenta
- Gabrielle Amarante
Institutions
- Federal University of São João del-Rei (BR)
Publication Details
- Published
- 2024-10-14
- DOI
- https://doi.org/10.5753/webmedia_estendido.2024.242364
- Primary Topic
- Crime Patterns and Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00