• DocumentCode
    243719
  • Title

    User-Driven Economic Data Analysis Framework

  • Author

    Joon Heo ; Okyu Kwon

  • Author_Institution
    Nat. Inst. for Math. Sci., Daejeon, South Korea
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    263
  • Lastpage
    264
  • Abstract
    Since Big data analysis needs specific algorithms and computation resources, general user should get analysis results unilaterally from information provider who has related infrastructures. In this paper, we show user-driven economic data analysis framework. Using the proposed framework and mobile App, user can select and transmit the kind of data and analysis parameters. The server of information provider which has economic Big data and mathematical algorithms performs analysis process according to transmitted parameters by user and sends back the analysis results.
  • Keywords
    Big Data; data analysis; mobile computing; big data analysis; economic big data; information provider; mathematical algorithms; mobile app; user-driven economic data analysis framework; Algorithm design and analysis; Big data; Business; Data analysis; Economics; Prototypes; Servers; analysis; economic data; mobile App; user-driven;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services (SERVICES), 2014 IEEE World Congress on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5068-3
  • Type

    conf

  • DOI
    10.1109/SERVICES.2014.54
  • Filename
    6903276