• DocumentCode
    1768308
  • Title

    Proposal of interactive document clustering system based on coordinated multiple views

  • Author

    Tonegawa, Takuma ; Takama, Yasufumi

  • Author_Institution
    Grad. Sch. of Syst. Design, Tokyo Metropolitan Univ., Hino, Japan
  • fYear
    2014
  • fDate
    7-8 Nov. 2014
  • Firstpage
    19
  • Lastpage
    22
  • Abstract
    This paper proposes an interactive document clustering system based on coordinated multiple views (CMV). Recently, the amount of documents has become extremely large, which makes it difficult for a user to under-stand relationship between documents and topics mentioned in a set of documents. In order to support a user, interactive clustering is a promising approach. When designing an interactive clustering system, it should be considered that a user has to examine clustering result from various levels such as clusters, documents, and words. The proposed system divides documents into four levels and displays each level in parallel with different views. By designing coordination among those views, a user can understand document information from various levels and perform interactive clustering efficiently.
  • Keywords
    data visualisation; document handling; interactive systems; pattern clustering; CMV; coordinated multiple views; interactive document clustering system; Artificial intelligence; Clustering algorithms; Data visualization; Information retrieval; Prototypes; Text mining; coordinated multiple views (CMV); interactive document clustering; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on
  • Conference_Location
    Hiroshima
  • ISSN
    1883-3977
  • Print_ISBN
    978-1-4799-4771-3
  • Type

    conf

  • DOI
    10.1109/IWCIA.2014.6987729
  • Filename
    6987729