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...

全面介绍

书目详细资料

Main Authors:	Maestre-Gongora, Gina, Acuña-Castellanos, Camilo Andrés, Londoño-Bedoya, Edwar, García-García, Sergio
格式:	Online
语言:	spa
出版:	Universidad Pedagógica y Tecnológica de Colombia 2023
主题:	open data; theft; machine learning; business intelligence datos abiertos; robo; aprendizaje automático; inteligencia de negocios
在线阅读:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16059