Mineração de dados de ocorrências criminais para identificação de zonas de alta criminalidade em Fortaleza e região metropolitana

Abstract

In recent years we experienced a high number of criminal occurrences throughout Brazil. These occurrences are of various types and the security organs have been faced with difficulties in combating them. Many of these difficulties are directly related to the lack of investment and materials that help in the direct and indirect fight against crime. The perspective of this work is to analyze criminal occurrences, more precisely occurrences from the city of Fortaleza made available by the Secretariat of Public Security and Social Defense, and to provide information such as the regions that have the highest density of occurrences, types of crimes and neighborhoods that are part of the regions identified to assist these bodies in combating these crimes. For this, we used techniques such as Knowledge Discovery in Databases, Extraction of Entities and Data Mining. Thus, it was possible to gather important information about the criminal occurrences from Fortaleza and to conclude, for example, that each month obtained a different region with more density of crimes, but these regions were always close to each other.