Aplicación de técnicas de machine learning para la detección y prevención de hurtos a personas en Bucaramanga

This study analyzes crime patterns in Bucaramanga between 2016 and 2023, using data analysis and Machine Learning techniques to identify high-risk areas and predict future crimes. Through descriptive analysis, georeferencing, and clustering models, areas with high crime incidence, particularly thefts against individuals, were identified. An interactive visualizer was developed in Power BI to assist local authorities in decision-making and designing prevention strategies, emphasizing the importance of interventions based on temporal, geospatial, and demographic patterns.

Grantor dc:publisher

Universidad Ean

Year dc:date

2024

Authors dc:creator

• García Herrera, Melissa
• Niño Vargas, Víctor Andrés
• Henao Marulanda, David Hernando
• Granados Iglesias, Daniel Enrique

Contributors dc:contributor

• Chéry Leal, Marie José

• Seguridad ciudadana
• Hurtos a personas
• Aprendizaje automático
• Public safety
• Theft from persons
• Machine learning
• Evaluación de proyectos
• Prevención del delito
• Inteligencia artificial
• Cambio tecnológico

Statement dc:rights

• info:eu-repo/semantics/openAccess
• Abierto (Texto Completo)
• Atribución-NoComercial-SinDerivadas 2.5 Colombia

Licence

• http://creativecommons.org/licenses/by-nc-nd/2.5/co/

Language dc:language

spa

Identifier

instname:Universidad Ean
reponame:Repositorio Institucional Biblioteca Digital Minerva
repourl:https://repository.ean.edu.co/

OAI identifier oai:identifier

oai:null:10882/14306