• DocumentCode
    2463523
  • Title

    A generation method of filtering rules of Twitter via smartphone based Participatory Sensing system for tourist by interactive GHSOM and C4.5

  • Author

    Ichimura, Takumi ; Kamada, Shin

  • Author_Institution
    Fac. of Manage. & Inf. Syst., Prefectural Univ. of Hiroshima, Hiroshima, Japan
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    110
  • Lastpage
    115
  • Abstract
    Mobile Phone based Participatory Sensing (MPPS) systems involve a community of users sending personal information and participating in autonomous sensing through their mobile phones. Sensed data can also be obtained from external sensing devices that can communicate wirelessly to the phone. We have developed the tourist subjective data collection system with Android smartphone. The tourist can tweet the information of sightseeing spots by using the application. The application can determine the filtering rules to provide the important information of sightseeing spot. The rules are automatically generated by Interactive Growing Hierarchical SOM and C4.5.
  • Keywords
    data mining; information filtering; mobile communication; mobile computing; smart phones; social networking (online); Android smartphone; C4.5; Twitter; external sensing devices; filtering rule generation method; filtering rules; interactive GHSOM; interactive growing hierarchical SOM; personal information; smartphone based participatory sensing system; tourist subjective data collection system; user autonomous sensing participation; wireless communication; Clustering algorithms; Data mining; Image color analysis; Quantization; Sensors; Smart phones; C4.5; Clustering; Growing Hierarchical SOM; Interactive GHSOM; Knowledge Discovery; SOM; Smartphone based Participatory Sensing System; Tourist Informatics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377685
  • Filename
    6377685