DATA MINING AS AN ANALYSIS TOOL ABOUT ANONYMOUS COMPLAINTS TO THE CIVIL POLICE OF THE FEDERAL DISTRICT

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Published: Apr 30, 2024
DOI: https://doi.org/10.5281/zenodo.11005404
Keywords:
Anonymous Communications, Data Mining, Knowledge Production Data Mining, Denúncias Anônimas, Produção de Conhecimento

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Andre Nunes
Universidade de Brasília (UnB)
https://orcid.org/0000-0001-9928-6245
Josafá Leite Ribeiro
Universidade de Brasília (UnB)
https://orcid.org/0009-0008-2891-2120

Abstract

Law enforcement agencies face a complex task in collecting information and accurately and efficiently analyzing progressive volumes of crime data. Data mining, also known as knowledge extraction, allows analysts to explore large databases quickly and accurately, reducing response times in strategic actions to repress and prevent criminal events. The objective of this study is to analyze how the use of data mining tools can reveal important information arising from anonymous complaints, which are managed by the Complaints Control Division (DICOE) of the Civil Police of the Federal District (PCDF). The Whistleblower Control System (SCONDE) database was a source of quantitative survey research, with a time frame from 2018 to 2022. Structured observation in panels, tables and statistical graphics from the business intelligence platform called QlikView. Using this solution, as an analysis instrument, it was possible to correlate several variables that structure anonymous complaints, allowing insights to be generated so that PCDF managers can act strategically to control crime.

Article Details

How to Cite
NUNES, A.; RIBEIRO, J. L. DATA MINING AS AN ANALYSIS TOOL ABOUT ANONYMOUS COMPLAINTS TO THE CIVIL POLICE OF THE FEDERAL DISTRICT. Conjuncture Bulletin (BOCA), Boa Vista, v. 18, n. 52, p. 137–155, 2024. DOI: 10.5281/zenodo.11005404. Disponível em: https://revista.ioles.com.br/boca/index.php/revista/article/view/3953. Acesso em: 18 dec. 2024.
Issue
Vol. 18 No. 52 (2024): April
Section
Articles
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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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