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Big Crime Data Analytics and Visualization

Crime is one of the most permanent and troubling issues for societies and law enforcement agencies, and it costs dearly in several ways. In recent years, criminal justice agencies headed for Deep Learning, Data Mining, and Machine Learning (ML) to help in the crime-fighting process by taking advantage of historical crime data in order to identify and detect crime patterns and hotspots, predict crime occurrences in the future, and apprehend criminals and suspects. A major challenge facing researchers and law enforcement agencies is the rapid volume growth of crime data and how it can be analyzed accurately and efficiently. In this paper, state-of-the-art big crime data analysis and visualization have been done on two real crime datasets of two US cities, Chicago and San-Francisco. Some interesting and hidden patterns and correlations have been detected.