• DocumentCode
    477950
  • Title

    A Web Mining Based Measurement and Monitoring Model of Urban Mass Panic in Emergency Management

  • Author

    Li, Minglu ; Chen, An

  • Author_Institution
    Inst. of Policy & Manage., Chinese Acad. of Sci., Beijing
  • Volume
    4
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    366
  • Lastpage
    370
  • Abstract
    It is very important to discover the mass panic when city is in emergency. A traditional approach is to do a survey among urban mass, which would cost much time and money. In our opinion, a more suitable and effective approach is to do Web-based investigation which includes discovery, measurement, and monitoring. A framework including information retrieval, data mining, and area knowledge analysis is presented. Great efforts have been put to the urban mass panic measurement model in terms of over 10 indicators which have covered most relevant Web sites, consisting of portal, forums, BBS and other interactive Web sites. Experimental results are discussed at the end of the article.
  • Keywords
    Internet; data mining; emergency services; information retrieval; Web based monitoring model; Web mining based measurement; area knowledge analysis; data mining; emergency management; information retrieval; urban mass panic; Cities and towns; Conference management; Data mining; Disaster management; Fuzzy systems; Knowledge management; Monitoring; Polarization; Psychology; Web mining; Emergency Management; Measurement and Monitoring Model; Urban Mass Panic; Web Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Jinan Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.495
  • Filename
    4666413