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...

Full beskrivning

Bibliografiska uppgifter

Huvudupphovsmän:	Maestre-Gongora, Gina, Acuña-Castellanos, Camilo Andrés, Londoño-Bedoya, Edwar, García-García, Sergio
Materialtyp:	Online
Språk:	spa
Publicerad:	Universidad Pedagógica y Tecnológica de Colombia 2023
Ämnen:	open data; theft; machine learning; business intelligence datos abiertos; robo; aprendizaje automático; inteligencia de negocios
Länkar:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16059