• DocumentCode
    3148725
  • Title

    The comparative study of the Business Intelligence Explorer and the traditional explorer

  • Author

    Yu, Zhaohui ; Ji, Xiang

  • Author_Institution
    Coll. of Int. Bus., Shanghai Int. Studies Univ., Shanghai, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    2985
  • Lastpage
    2989
  • Abstract
    Business Intelligence Explorer uses a new browsing method and the framework incorporates visualization, web mining and clustering techniques to support effective exploration of knowledge. To examine whether the business intelligence explorer did optimize the search result or not, this paper chose three research objects, Google, Quintura, Clusty, and conducted an analysis of variance in terms of efficiency, effectiveness and usability. The result shows that visualization and clustering techniques offers practical implications for search engine users.
  • Keywords
    competitive intelligence; knowledge management; search engines; Clusty; Google; Quintura; business intelligence explorer; clustering techniques; information overload; knowledge exploration; search engine; traditional explorer; visualization; web mining; Accuracy; Analysis of variance; Business; Communities; Knowledge engineering; Search engines; Usability; Business Intelligence; Business Intelligence Explorer; Information Overload;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639833
  • Filename
    5639833