Crime Prediction

Ground Defense

Crime data has two specific dimensions — geographic and temporal (crimes happen in different places at different times). Additional data sets provide other information on the weather, neighborhood, and public transportation that can impact the final model. Not every point in time and space is equally likely to host a crime, but machine learning can leverage this data to help understand the factors that contribute to historical crime and even predict future crimes.



Type of expertise/ AI domain

Predictions, Anomalies, Classification, Clustering, GeoHashing

Internal data required

Historical Crime Data

External data possible

Weather, Neighborhood, Public Transportation, Demographics, GIS, OpenStateMap, Social Media Activity

Research Paper

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