• DocumentCode
    3545108
  • Title

    Analysing offender´s attributes in the event of robbery by using microsimulation model

  • Author

    Hussain, K. Zakir ; Durairaj, M. ; Farzana, G. Rabia Jahani

  • Author_Institution
    Dept. of CSE, Bharathidasan Univ., Tiruchirappalli, India
  • fYear
    2012
  • fDate
    23-25 Aug. 2012
  • Firstpage
    18
  • Lastpage
    21
  • Abstract
    Criminology is an area that focuses the scientific study of crime and the person´s attributes and it is a process that aims to identify the attributes which leads to commit violent crime. This paper aims to build a micro simulation model for predicting and simulating different types of robbery by developing a crime module and by extracting information that could be used to build equations for designing a crime module interlinked with microsimulation model. This would further help the crime investigators to have a better understanding of an offender within few seconds. This will also pave way for social rehabilitation of an offender and prevent re-offending.
  • Keywords
    Monte Carlo methods; information retrieval; knowledge acquisition; police data processing; social sciences computing; Monte Carlo simulation; attribute identification; crime module; criminology; information extraction; knowledge acquisition task; microsimulation model; offender attribute analysis; robbery event; robbery prediction; robbery simulation; social rehabilitation; violent crime; Aggregates; Analytical models; Education; Employment; Indexes; Predictive models; Forecasting and Monte Carlo Simulation; Robbery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Control and Computing Technologies (ICACCCT), 2012 IEEE International Conference on
  • Conference_Location
    Ramanathapuram
  • Print_ISBN
    978-1-4673-2045-0
  • Type

    conf

  • DOI
    10.1109/ICACCCT.2012.6320726
  • Filename
    6320726