Security informatics is an emerging field of study focusing on the development and evaluation of advanced information technologies and systems for national and homeland security-related applications. Spatio-temporal hotspot analysis is an important component of security informatics since location and time are two critical aspects of most security-related events. The outputs of such analyses can provide useful information to guide the activities aimed at preventing, detecting, and responding to security problems. This paper reports a computational study carried out to evaluate the effectiveness of two prominent spatio-temporal hotspot analysis techniques, i.e., scan statistics and risk-adjusted clustering, in two selected security-related applications including infectious disease informatics and crime analysis. This paper also proposes a new technique based on support vector machines. Preliminary experiments have demonstrated positively that this new approach can be a viable analysis alternative in security informatics.


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    Titel :

    A comparative study of spatio-temporal hotspot analysis techniques in security informatics


    Beteiligte:
    Daniel Zeng, (Autor:in) / Wei Chang, (Autor:in) / Hsinchun Chen, (Autor:in)


    Erscheinungsdatum :

    2004-01-01


    Format / Umfang :

    574839 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Wei Chang, / Daniel Zeng, / Hsinchun Chen, | IEEE | 2005


    Prospective Spatio-Temporal Data Analysis for Security Informatics (I)

    Chang, W. / Zeng, D. / Chen, H. et al. | British Library Conference Proceedings | 2005


    A comparative analysis of hotspot identification methods

    Méndez, Álvaro Gómez | Online Contents | 2010



    SPATIO-TEMPORAL DATABASES

    Stancic, B. / Kapovic, Z. | British Library Conference Proceedings | 2010