• DocumentCode
    3239402
  • Title

    Promoting entertainment artists using data mining and lifecycle forecasting techniques

  • Author

    Trappey, A.J.C. ; Trappey, C.V. ; Chang, Ai-Che ; Chao, M.-H. ; Hsieh, H.-C. ; Lee, F.-L.

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1918
  • Lastpage
    1921
  • Abstract
    With the thriving development of mass media, entertainment industry has enormous growth. The goal of entertainment agency is to establish an efficient career management system for individual artists. The research aims at developing an approach to evaluate the potential of entertainment artists and to construct their suitable career pathes. In this research, data mining techniques are applied to correlate degrees and types of media exposures and successes of artists. The technology forecasting methods are applied to foresee the future career paths for new artists. Thus, entertainment agencies can assess values of artists, plan appropriate marketing strategy, and cultivate talented artists by utilizing quantitative and systematic methodology.
  • Keywords
    data mining; entertainment; professional aspects; artist success; career management system; career path; data mining; entertainment agency; entertainment artist promotion; entertainment industry; lifecycle forecasting; marketing strategy; mass media; media exposure; technology forecasting; Analytical models; Artificial neural networks; Engineering profession; Films; Humans; Motion pictures; Periodic structures; Artificial Neural Network; Data Mining; Technology Forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6483-8
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2010.5645900
  • Filename
    5645900