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Personalized Crime Location Prediction

  • Mohammad A. Tayebi
  • Uwe Glässer
Chapter
Part of the Lecture Notes in Social Networks book series (LNSN)

Abstract

Urban population is expected to grow globally from 2.86 bn in the year 2000 to 4.98 bn by 2030 (http://mirror.unhabitat.org/pmss/getElectronicVersion.aspx?nr=1163&alt=1, 2004). While we are within this period of large urban growth, policymakers and law enforcement agencies are facing an enormous challenge deploying scarce policing resources more efficiently and effectively. This effectiveness requires a combination of apprehension of criminals, disruption of criminal networks, and the deterrence of crime through crime prevention and reduction strategies.

Keywords

Random Walk Road Network Activity Space Road Segment Collaborate Filter 
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 International Publishing Switzerland 2016

Authors and Affiliations

  • Mohammad A. Tayebi
    • 1
  • Uwe Glässer
    • 1
  1. 1.Computing ScienceSimon Fraser UniversityBritish ColumbiaCanada

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