• DocumentCode
    2835096
  • Title

    An intelligent decision support system for stock investment

  • Author

    Moon, Y.S. ; Yau, Connie

  • Author_Institution
    Dept. of Comput. Sci., Chinese Univ. of Hong Kong, Shatin
  • fYear
    1989
  • fDate
    22-24 Nov 1989
  • Firstpage
    956
  • Lastpage
    959
  • Abstract
    A description is given of an effort that attempts to combine artificial intelligence, computer networking and database and management science technologies to aid stock investors in their decision making processes. Data from a multi-database environment, including the investors´ own databases as well as those public databases coming through modern communication networks are retrieved using natural English language. Portfolio analysis and other forecasting techniques are then applied to the data. Thus, a stock investment analyst is able to obtain extremely wide sources of information and assistance with minimal computer knowledge. The system, called Stock Investment Aid, has been implemented using the Hong Kong stock market as an example
  • Keywords
    computer networks; database management systems; decision support systems; information retrieval systems; investment; knowledge based systems; natural languages; stock markets; user interfaces; Hong Kong stock market; Stock Investment Aid; artificial intelligence; computer networking; decision making processes; forecasting techniques; intelligent decision support system; management science technologies; modern communication networks; multi-database environment; natural English language; portfolio analysis; public databases; stock investment analyst; stock investors; Artificial intelligence; Communication networks; Computer network management; Computer networks; Databases; Decision making; Decision support systems; Intelligent systems; Investments; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '89. Fourth IEEE Region 10 International Conference
  • Conference_Location
    Bombay
  • Type

    conf

  • DOI
    10.1109/TENCON.1989.176867
  • Filename
    176867