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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Maestre-Gongora, Gina, Acuña-Castellanos, Camilo Andrés, Londoño-Bedoya, Edwar, García-García, Sergio
التنسيق:	Online
اللغة:	spa
منشور في:	Universidad Pedagógica y Tecnológica de Colombia 2023
الموضوعات:	open data; theft; machine learning; business intelligence datos abiertos; robo; aprendizaje automático; inteligencia de negocios
الوصول للمادة أونلاين:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16059