• DocumentCode
    2710293
  • Title

    Crime analytics: Analysis of crimes through newspaper articles

  • Author

    Jayaweera, Isuru ; Sajeewa, Chamath ; Liyanage, Sampath ; Wijewardane, Tharindu ; Perera, Indika ; Wijayasiri, Adeesha

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
  • fYear
    2015
  • fDate
    7-8 April 2015
  • Firstpage
    277
  • Lastpage
    282
  • Abstract
    Crime analysis is one of the most important activities of the majority of the intelligent and law enforcement organizations all over the world. Generally they collect domestic and foreign crime related data (intelligence) to prevent future attacks and utilize a limited number of law enforcement resources in an optimum manner. A major challenge faced by most of the law enforcement and intelligence organizations is efficiently and accurately analyzing the growing volumes of crime related data. The vast geographical diversity and the complexity of crime patterns have made the analyzing and recording of crime data more difficult. Data mining is a powerful tool that can be used effectively for analyzing large databases and deriving important analytical results. This paper presents an intelligent crime analysis system which is designed to overcome the above mentioned problems. The proposed system is a web-based system which comprises of crime analysis techniques such as hotspot detection, crime comparison and crime pattern visualization. The proposed system consists of a rich and simplified environment that can be used effectively for processes of crime analysis.
  • Keywords
    Internet; computational complexity; data mining; police data processing; crime analytics; crime comparison; crime patterns complexity; data mining; geographical diversity; hotspot detection; intelligence organizations; intelligent crime analysis system; large databases; law enforcement organizations; newspaper articles; Accuracy; Crawlers; Data mining; Databases; Law enforcement; Organizations; Support vector machines; crime analysis; document classification; entity extraction; near duplicate detection; web crawling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Moratuwa Engineering Research Conference (MERCon), 2015
  • Conference_Location
    Moratuwa
  • Type

    conf

  • DOI
    10.1109/MERCon.2015.7112359
  • Filename
    7112359