IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitdm/v01y2002i01ns0219622002000087.html
   My bibliography  Save this article

Rules Detecting And Rules-Data Mutual Enhancement Based On Factors Space Theory

Author

Listed:
  • PEI-ZHUANG WANG

    (1434, Suzanne Drive, Allen TX 75002, USA)

  • ALEX JIANG

    (39A Ingestre Street, Wanganui, New Zealand)

Abstract

This paper presents a new method of rules detecting about exploring hidden rules from a given knowledge base. The expended rule set forms a lattice that can be generated by the core. Not only does this method produce detecting rules, but also enhance data integrity and completeness. In addition, this paper introduces the concept of rules-data mutual enhancement, which can detect the ultimate relationship between data and rules with the utilization of two types of information resources: databases and knowledge bases. As a result, this paper makes initial endeavors to combine those two quite separated fields to promote the development of information technology.

Suggested Citation

  • Pei-Zhuang Wang & Alex Jiang, 2002. "Rules Detecting And Rules-Data Mutual Enhancement Based On Factors Space Theory," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 73-90.
    • Handle: RePEc:wsi:ijitdm:v:01:y:2002:i:01:n:s0219622002000087
    DOI: 10.1142/S0219622002000087
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219622002000087
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219622002000087?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijitdm:v:01:y:2002:i:01:n:s0219622002000087. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitdm/ijitdm.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.