• DocumentCode
    3156810
  • Title

    Data Analysis in Incomplete Information Systems Based on Granular Computing

  • Author

    Wang, Cunpeng

  • Author_Institution
    Qingdao Agric. Univ., Qingdao, China
  • Volume
    2
  • fYear
    2010
  • fDate
    12-14 Nov. 2010
  • Firstpage
    153
  • Lastpage
    155
  • Abstract
    Granular computing is a new emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information systems. In this paper, based on granular computing, we analyze granular structures of incomplete information systems. Finally, the simple knowledge representation and valuable knowledge can be discovered from incomplete information systems by granule-based analysis method. The results can also provide a new approach to understanding the structures of incomplete information systems.
  • Keywords
    data analysis; data structures; information systems; knowledge representation; data abstraction; data analysis; granular computing; granule based analysis method; information processing; information system; knowledge representation; Artificial intelligence; Data analysis; Gallium; Information processing; Presses; Problem-solving; granular computing; granules; incomplete information systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2010 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8664-9
  • Type

    conf

  • DOI
    10.1109/ICSEM.2010.129
  • Filename
    5640253