Predicting Financial Crime: Augmenting the Predictive Policing Arsenal

2017/04/25 by Sam Lavigne, Lavigne, Sam, Brian Clifton +3
Computer Science · #Computers and Society (cs.CY) #FOS: Computer and information sciences #cs.CY

paper · pdf · doi:10.48550/arxiv.1704.07826

arxiv created 2017/04/25 · arxiv updated 2017/04/27

Abstract

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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