• DocumentCode
    3109028
  • Title

    Visualization of the user´s preference using multi-values analysis

  • Author

    Lin, Mu-Hua ; Hong, Chao-Fu ; Jao, Kai-Yuan

  • Author_Institution
    Dept. of MIS Nat. Chengdu, Univ. Taipei City, Taipei
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    307
  • Lastpage
    311
  • Abstract
    In our research, we proposed a method of text analysis; it combines the concept that grounded theory and chance discovery. In the interactive process of user and documents, analyst can get some information faster and accurately which he want to know. Through the visualization of documents, analyst can read and understand easier. This way can avoid the trouble that a large number of documents are difficult to expl.ain, and not easy to find out the relation between the words. Our research utilizes the Web news of WII to explain the story of documents. To prove the analysis procedure which proposed from our research is feasible. In the research, we can prove that check the documents with different viewpoint, can obtain different results of problem. To recombine values and analysis result repeatedly, can great to help in distinguishing the problem. And discuss Porter´s five forces analysis finally; it can fill the deficiency of making the competitive strategy that the procedure proposed from our research. This is a very important discovery in our research.
  • Keywords
    data visualisation; document handling; text analysis; chance discovery; documents visualization; grounded theory; interactive process; multivalues analysis; text analysis; Chaos; Cities and towns; Consumer behavior; Data mining; Data visualization; Information analysis; Information management; Low-frequency noise; Text analysis; Toy industry; Grounded Theory; Value-Focused Thinking; multi-value analysis; text mining; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811293
  • Filename
    4811293