IDEAS home Printed from https://ideas.repec.org/a/vrs/itmasc/v20y2017i1p109-115n19.html
   My bibliography  Save this article

Supporting Problem Solving Process of Expert System Architecture in Database Administration

Author

Listed:
  • Kauliņš Andrejs

    (Riga Technical University, Riga, Latvia)

Abstract

The present article describes the supporting problem solving process of expert system architecture in database administration. The proposed expert system produces solutions using input data from users, also recommends a better solution according to the defined task, restrictions and given optimisation goal. To generate solutions, an expert system uses the combined method to produce a solution. The present article also describes a problem domain, where an expert system could be used. In the implementation section, system design and implementation are also introduced. Conclusion section comprises further research and development steps.

Suggested Citation

  • Kauliņš Andrejs, 2017. "Supporting Problem Solving Process of Expert System Architecture in Database Administration," Information Technology and Management Science, Sciendo, vol. 20(1), pages 109-115, December.
  • Handle: RePEc:vrs:itmasc:v:20:y:2017:i:1:p:109-115:n:19
    DOI: 10.1515/itms-2017-0019
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/itms-2017-0019
    Download Restriction: no

    File URL: https://libkey.io/10.1515/itms-2017-0019?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
    ---><---

    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:vrs:itmasc:v:20:y:2017:i:1:p:109-115:n:19. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.