• DocumentCode
    2680648
  • Title

    A System to Capture and Generation of Traffic Information from Posted Messages on Social Networks

  • Author

    Huzita, Elisa H M ; de Souza, Tainan G. F. ; Kabuki, Yan H.

  • Author_Institution
    Dept. de Inf., Univ. Estadual de Maringa (UEM), Maringa, Brazil
  • fYear
    2012
  • fDate
    15-18 Oct. 2012
  • Firstpage
    174
  • Lastpage
    180
  • Abstract
    The expansion of the Internet and the growing use of social networks, allowed the capture and use of data related to traffic. This article presents an application, based in an intelligent system that explores the cooperativity of Facebook users so that, by data mining, get a navigable map that points out the most recent transit events reported by users. Thus, it is expected to contribute with useful information that helps any user to take decisions about the best path to be performed for his locomotion, avoiding, for example, traffic jams or accidents that are blocking roads they normally use.
  • Keywords
    Internet; data mining; road traffic; social networking (online); Facebook; Internet; data mining; intelligent system; posted messages; social networks; traffic information generation; Bayesian methods; Bills of materials; Data mining; Facebook; Manuals; Twitter; collaboration; data extraction; data mining; social network; text classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Systems (SBSC), 2012 Brazilian Symposium on
  • Conference_Location
    Sao Paulo
  • Print_ISBN
    978-1-4673-4696-2
  • Type

    conf

  • DOI
    10.1109/SBSC.2012.25
  • Filename
    6391745