Application of data mining for crime analysis

Abstract

Data mining can be considered as a powerful tool that enables low enforcement and emergency agencies to discovery meaningful patterns in a large amount of danger situation. In this paper, we propose a data mining framework for predicting crimes. The proposed framework consists of the following modules: test data generation, classification, clustering and data ranking. We performed the experiments using various datasets in order to determine which one is potentially best for performing crime pattern prediction task.