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Information Journal Paper

Title

COMPUTERIZED CRIME ANALYSIS USING ARTIFICIAL INTELLIGENCE AND DATAMINING FOR CRIME DETECTION

Pages

  98-117

Abstract

 Recently, in the field of modem criminology, several solutions have been proposed for expediting crime detection and lessening the rate of crime occurrence. Among these solutions those having scientific backgrounds have grabbed the criminologists' attentions. In this paper, burglary methods have been investigated using NEURAL NETWORKS in order to detect a crime before it happens. In fact, the analysis of burglar behavior is the key to crime detection and attribution. In addition, the issue of anticipative detection has been discussed with a new meaning and its relationship with crime for casting has been explained. In the current paper, other academic techniques in subjects like: comparative criminology, group detection and link analysis in criminal networks have been fully discussed. Crime pattern recognition is a common need in all these academic solutions. The paper structure is a combination of two approaches: crime detection before its occurrence and crime for casting.

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  • Cite

    APA: Copy

    KEIVANPOUR, M.R., JAVIDEH, M., & EBRAHIMI, M.R.. (2009). COMPUTERIZED CRIME ANALYSIS USING ARTIFICIAL INTELLIGENCE AND DATAMINING FOR CRIME DETECTION. KARAGAH (THE DETECTIVE), 2(7), 98-117. SID. https://sid.ir/paper/183743/en

    Vancouver: Copy

    KEIVANPOUR M.R., JAVIDEH M., EBRAHIMI M.R.. COMPUTERIZED CRIME ANALYSIS USING ARTIFICIAL INTELLIGENCE AND DATAMINING FOR CRIME DETECTION. KARAGAH (THE DETECTIVE)[Internet]. 2009;2(7):98-117. Available from: https://sid.ir/paper/183743/en

    IEEE: Copy

    M.R. KEIVANPOUR, M. JAVIDEH, and M.R. EBRAHIMI, “COMPUTERIZED CRIME ANALYSIS USING ARTIFICIAL INTELLIGENCE AND DATAMINING FOR CRIME DETECTION,” KARAGAH (THE DETECTIVE), vol. 2, no. 7, pp. 98–117, 2009, [Online]. Available: https://sid.ir/paper/183743/en

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