Predicate crime event with dynamic features In this work, we explore dynamic features derived from Foursquare check-in data in short-term crime event prediction with fine spatio-temporal granularity. In this work we includes different types of crime events that have a highly correlated to the dynamic features, e.g.,Theft, DrugOffence, Fraud, UnlawfulEntry and Assault, indifferent time intervals.
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