Tool for descriptive and predictive analyses in criminal data: A case study in Minas Gerais

• Yan Andrade UFSJ
• Gabrielle Amarante UFMG
• Matheus Pimenta UFMG
• Wagner Meira Jr. UFMG
• George Teodoro UFMG
• Leonardo Rocha UFSJ
• Renato Ferreira UFMG

DOI: https://doi.org/10.5753/webmedia_estendido.2024.242364

Abstract

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.

Keywords: Modelos Descritivos e Preditivos de Crimes

References

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