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The rising numbers of crime in the city of Recife have prompted the State Government to increase the fleet of police officers on the streets in the first quarter of 2018, expecting a decrease in crime. However, combating violence only in a reactive way is an insufficient strategy for a significant reduction, because to the complexity of the criminal profile of each locality, making difficult the tactical organization of the police, and it is necessary to create preventive actions in parallel. With the application of the algorithms Apriori and FP-Growth, Association Rules were extracted that generated a predictive analysis of data of occurrences of crimes reported in the police stations of Recife, as the fact that a crime occurs in the night period implies that its nature is homicide . It’s hoped to assist the police in investigations and strategies for a more effective fight against crime. Key-words: Criminality in the city of Recife; Police stations in Recife; Data Mining; Association Rules; Apriori; FP-Growth. Aplicação de Regras de Associação em Dados da Criminalidade da Cidade do Recife