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Mapping the Risk Terrain for Crime Using Machine Learning
Authors:Wheeler  Andrew P.  Steenbeek  Wouter
Affiliation:1.Data Scientist, HMS, 5615 High Point Dr #100, Irving, TX, 75038, USA
;2.Netherlands Institute for the Study of Crime and Law Enforcement, Amsterdam, The Netherlands
;
Abstract:Journal of Quantitative Criminology - We illustrate how a machine learning algorithm, Random Forests, can provide accurate long-term predictions of crime at micro places relative to other popular...
Keywords:
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