Data analysis of thefts in the city of Medellin from a descriptive approach

This article aims to identify trends and patterns of theft in the city of Medellin in the period 2014-2020, using open government data. The methodology used is business intelligence for descriptive data analysis. Variables such as neighborhoods, modalities, type of theft, and the prediction of the t...

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Autors principals:	Maestre-Gongora, Gina, Acuña-Castellanos, Camilo Andrés, Londoño-Bedoya, Edwar, García-García, Sergio
Format:	Online
Idioma:	spa
Publicat:	Universidad Pedagógica y Tecnológica de Colombia 2023
Matèries:	open data; theft; machine learning; business intelligence datos abiertos; robo; aprendizaje automático; inteligencia de negocios
Accés en línia:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16059