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Machine learning is a tremendous tool for predictive policing. If patterns are identified the police can immediately try to stop them. Without such tools it can take weeks and even years of shifting though databases to discover a pattern. Data-driven approach solves very difficult problems in predictive policing. It’s the first mathematically principled approach to the automated learning of crime series. Sociodemographics, along with spatial and temporal information, are all aspects that crime analysts look at to understand what is going on in their jurisdiction. Crime analysis employs data mining, crime mapping, statistics, research methods, desktop publishing, charting, presentation skills, critical thinking, and a solid understanding of criminal behavior. This article uses material from the Wikipedia article "Crime_analysis", which is released under the Creative Commons Attribution-Share-Alike License 3.0.


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