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

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...

Bibliografski detalji
Glavni autori:	Maestre-Gongora, Gina, Acuña-Castellanos, Camilo Andrés, Londoño-Bedoya, Edwar, García-García, Sergio
Format:	Online
Jezik:	spa
Izdano:	Universidad Pedagógica y Tecnológica de Colombia 2023
Teme:	open data; theft; machine learning; business intelligence datos abiertos; robo; aprendizaje automático; inteligencia de negocios
Online pristup:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16059

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