Research Article

Algorithm to Track Criminal

by  Simran Syal, Mandeep Singh
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Issue 16
Published: November 2014
Authors: Simran Syal, Mandeep Singh
10.5120/18603-9884
PDF

Simran Syal, Mandeep Singh . Algorithm to Track Criminal. International Journal of Computer Applications. 106, 16 (November 2014), 17-20. DOI=10.5120/18603-9884

                        @article{ 10.5120/18603-9884,
                        author  = { Simran Syal,Mandeep Singh },
                        title   = { Algorithm to Track Criminal },
                        journal = { International Journal of Computer Applications },
                        year    = { 2014 },
                        volume  = { 106 },
                        number  = { 16 },
                        pages   = { 17-20 },
                        doi     = { 10.5120/18603-9884 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2014
                        %A Simran Syal
                        %A Mandeep Singh
                        %T Algorithm to Track Criminal%T 
                        %J International Journal of Computer Applications
                        %V 106
                        %N 16
                        %P 17-20
                        %R 10.5120/18603-9884
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes an approach to prevent crime by applying a well-defined algorithm. The proposed algorithm makes use of a mathematical expression which calculates the probability of a criminal doing a crime in a particular area based on the previous records. The algorithm updates the probability over time and makes use of two major factors of crime, area of crime and rate of crime for calculating the probability of a criminal doing crime in future.

References
  • James Byrne, and Gary Marx, Technological Innovations in Crime Prevention and Policing. A Review of Research on Implementation and Impact.
  • Agangiba William Akotam, and Agangiba Millicent Akotam, 2013, Mobile Solution for Metropolitan Crime Detection and Reporting, Journal of Emerging Trends in Computing and Information Science.
  • Malathi. A. , Dr. S. Santhosh Baboo, An Enhanced Algorithm to Predict a Future Crime using Data Mining.
  • Hyndman, R. J. , Koehler, A. B (2005) Another look at measures of forecast accuracy, Monash University.
  • Sherman, L. W. , Gartin, P. R. , & Buerger, M. E. (1989). Hot spots of predatory crime: Routine activities and the criminology of place, Criminology, 27, 27–55.
  • Felson & Poulsen 2003 Simple indicator of crime by time of day, International Journal of Forecasting19-595-601.
  • Liu, H. , and Brown, D. E. (2003), Criminal incident prediction using a point-pattern based density model. International Journal of Forecasting.
  • Anthony A. Braga, David L. Weisburd, Police innovation and crime prevention.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Crime Sector Database Crime Prevention Criminal Crime probability

Powered by PhDFocusTM