Predicting Financial Crime: Augmenting the Predictive Policing Arsenal

نویسندگان

  • Sam Lavigne
  • Brian Clifton
  • Francis Tseng
چکیده

Financial crime is a rampant but hidden threat. In spite of this, predictive policing systems disproportionately target “street crime” rather than white collar crime. This paper presents the White Collar Crime Early Warning System (WCCEWS), a white collar crime predictive model that uses random forest classifiers to identify high risk zones for incidents of financial crime.

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عنوان ژورنال:
  • CoRR

دوره abs/1704.07826  شماره 

صفحات  -

تاریخ انتشار 2017