• DocumentCode
    2689038
  • Title

    A RFID-enabled with data mining model for exhibition industry

  • Author

    Wang, W.L. ; Chang, C.P. ; Huang, C.T. ; Wang, B.S.

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Nat. Chin-Yi Univ. of Technol., Taiping, Taiwan
  • fYear
    2009
  • fDate
    8-10 June 2009
  • Firstpage
    664
  • Lastpage
    668
  • Abstract
    Taiwan has been upgraded to world-class exhibition venues. At present, the participations of the exhibition are the way to approach the scene admission tickets, or to prove that staffs wear work to enter the venue. For the case, manufacturers and exhibitors is difficult to collect information to find the potential customers. How fast and accurate to collect the information on all personnel at the exhibition is a major issue. RFID is a new technology for data collection. The benefits of RFID include: (1) Identification, without directly touching or reading machine targeting items ;(2) To identify the label other than the use of information technology most of ADC information stored in more;(3) Follow history, or re-use in the identification label change read / write the data identification label. In this paper, we propose a RFID-enabled with data mining model which start with RFID technique for fast data collection, then analyze and transform the data to useful information for exhibition industry through data mining.
  • Keywords
    advertising data processing; data mining; exhibitions; radiofrequency identification; RFID-enabled; data collection; data identification label; data mining model; exhibition industry; information technology; radio frequency identification; world-class exhibition venues; Data analysis; Data mining; History; Information analysis; Information technology; Layout; Manufacturing industries; Mining industry; Personnel; Radiofrequency identification; Data Mining; Exhibition; RFID;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2009. ICSSSM '09. 6th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-3661-3
  • Electronic_ISBN
    978-1-4244-3662-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2009.5174965
  • Filename
    5174965