• DocumentCode
    2876079
  • Title

    An Association Model Based on Modus Operandi Mining for Implicit Crime Link Construction

  • Author

    Wang, Jau-Hwang ; Lin, Chien-Lung

  • Author_Institution
    Dept. of Inf. Manage., Central Police Univ., Taoyuan, Taiwan
  • fYear
    2011
  • fDate
    25-27 July 2011
  • Firstpage
    548
  • Lastpage
    550
  • Abstract
    Link analysis has been an important tool in crime investigation. Explicit or implicit social links, such as kinship, financial exchange, telephone connection, links derived from modus operandi, time of day, and geographic relationship, are often used to construct links between criminals. This paper proposes an association model based on modus operandi mining to establish links among crime cases and chronic criminals. Two data sets of robbery and residential burglary crime records were collected from a local police department and were used for experiment to evaluate the performance of the proposed approach.
  • Keywords
    data mining; police data processing; social networking (online); association model; chronic criminals; crime investigation; data sets; explicit social links; implicit social links; local police department; modus operandi mining; residential burglary crime; robbery; Computational modeling; Data mining; Information entropy; Presses; Probability distribution; Random variables; Social network services; Crime Association Model; Implicit Link Mining; Information Entropy; Modus Operandi;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-61284-758-0
  • Electronic_ISBN
    978-0-7695-4375-8
  • Type

    conf

  • DOI
    10.1109/ASONAM.2011.34
  • Filename
    5992658