• DocumentCode
    1627962
  • Title

    Data Analysis through Information Visualisation for eGovernments & eBusinesses

  • Author

    Khan, Wajid ; Hussain, Fiaz

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Univ. of Bedfordshire, Luton, UK
  • fYear
    2013
  • Firstpage
    215
  • Lastpage
    220
  • Abstract
    The greatest contribution of information visualisation tools are to make it possible for the decision makers to identify the expected and discover the unexpected, similarly exploring hidden patterns and trends in large enterprise and Government data is an unique challenge. Adopting existing technologies in a mash-up environment to analyse and understand data through visual analytics and information visualisation. We will be exploring data by information visualisation through mash-up application. What we have discovered that complex visualisation elements could be formed through pre-developed and existing visualisation models processing large and diverse datasets.
  • Keywords
    data analysis; data visualisation; decision making; electronic commerce; government data processing; data analysis; decision making; e-business; e-goverment; information visualisation; mash-up environment; visual analytics; Data mining; Data models; Data visualization; Government; Web 2.0; Business Analytics; Data Analysis; Information Visualisation; data mash-up; eBusinesses; eGoverment; eGoverments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Developments in eSystems Engineering (DeSE), 2013 Sixth International Conference on
  • Conference_Location
    Abu Dhabi
  • ISSN
    2161-1343
  • Print_ISBN
    978-1-4799-5263-2
  • Type

    conf

  • DOI
    10.1109/DeSE.2013.46
  • Filename
    7041119
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1627962