• DocumentCode
    2894564
  • Title

    Application of Association Analysis in Digital Content Industry

  • Author

    Ziyun Zhuang ; Bo Zhang

  • Author_Institution
    Bus. Sch., Univ. of Shanghai for Sci. & Technol., Shanghai, China
  • Volume
    1
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    18
  • Lastpage
    21
  • Abstract
    To fully tap the potential of digital content industry, we should upgrade digital content industrial chain to a value profit chain which could generate continuous revenue with the support of information technology. in this paper, we develop an application model based on an advanced data processing technique: association analysis in the field of digital content industry. This model is user-centric, that is, to extract valuable information from massive data storage accumulated over the years in digital content industry from two aspects: products and services, thus to turn passive services to active ones, which could ultimately dig out the endless economic potential of digital content industry.
  • Keywords
    content management; data analysis; advanced data processing technique; association analysis; data storage; digital content industry; economic potential; information technology; user-centric model; Association rules; Business; Data processing; Educational institutions; Industries; Publishing; association analysis; data processing; digital content industry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.13
  • Filename
    6406864