Caracterización de los hurtos a personas que afectan la localidad los mártires de la ciudad de Bogotá mediante el uso de los algoritmos de agrupamiento de minería de datos espaciales Dbscan y K-Means

Abstract

To analyze the behavior of thefts to people that affect a locality of Bogotá, making use of algorithms of spatial data mining and supported in a infrastructure of spatial data, taking into account variables like police quadrant, month, day of the month, day of the week, time, place of occurrence of the crime, sex and age of the victim; so that different types of maps of thefts can be carried out and allow the authorities to implement strategies and to combat crime more effectively and efficiently. Throughout the project, the K-Means and DBSCAN spatial data mining clustering algorithms were made using free software and programming in python.