• DocumentCode
    2194727
  • Title

    Knowledge Mining for Intelligent Decision Making in Small and Middle Business

  • Author

    Li, Huamin ; Li, Xingsen ; Zhu, Zhengxiang

  • Author_Institution
    Ningbo Inst. of Technol., Zhejiang Univ., Ningbo, China
  • fYear
    2010
  • fDate
    2-4 April 2010
  • Firstpage
    734
  • Lastpage
    739
  • Abstract
    Small and middle businesses (SMBs) play an increasingly important role, but their decision making process mostly relies on skilled employees which are usually not available. Information systems can help to solve this problem to a certain extent, meanwhile they also cause information explosion or even knowledge overload which confuses the decision makers. As an extended research of intelligent knowledge management, a knowledge mining method which can draw a knowledge relation map based on Extension Theory (Extenics) is presented. The path from conditions to the goal or the primary causes could be found through this map Therefore it can guide the managers to take actions by following all possible paths systemically and make better decisions. The application in a garment company proved its simplicity but useful value.
  • Keywords
    data mining; decision making; knowledge based systems; knowledge management; extension theory; information systems; intelligent decision making; intelligent knowledge management; knowledge mining; small & middle business; Decision making; Informatics; Information security; Information technology; Extenics; intelligent decision; knowledge mining; small and middle Business;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
  • Conference_Location
    Jinggangshan
  • Print_ISBN
    978-1-4244-6730-3
  • Electronic_ISBN
    978-1-4244-6743-3
  • Type

    conf

  • DOI
    10.1109/IITSI.2010.181
  • Filename
    5453702