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An Early Warning System for the Prediction of Criminal Careers

  • Tim K. Cocx
  • Walter A. Kosters
  • Jeroen F. J. Laros
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5317)

Abstract

Dismantling networks of career criminals is one of the focus points of modern police forces. A key factor within this area of law enforcement is the accumulation of delinquents at the bottom of the criminal hierarchy. A deployed early warning system could benefit the cause by supplying an automated alarm after every apprehension, sounding when this perpetrator is likely to become a career criminal. Such a system can easily be built upon existing, strategic, analysis already performed at headquarters. We propose a tool that superimposes a 2-dimensional extrapolation on a static clustering, that describes the movement in time of an offender through the criminal spectrum. Using this extrapolation, possible future attributes are calculated and the criminal is classified accordingly. If the predicted class falls within the danger category, the system notifies police officials. We outline the implementation of such a tool and highlight test results on the Dutch National Criminal Record Database. Certain problematic situations, like time constraints, privacy concerns and reliability issues, are also discussed.

Keywords

Early Warning System Criminal Career Crime Syndicate Extrapolation Scheme Cluster Reduction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Tim K. Cocx
    • 1
  • Walter A. Kosters
    • 1
  • Jeroen F. J. Laros
    • 1
  1. 1.Leiden Institute of Advanced Computer ScienceLeiden UniversityThe Netherlands

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