IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v19y2015i3p422-432.html
   My bibliography  Save this article

Canonical form of partial decision list

Author

Listed:
  • Hao Shao
  • Rui Xu
  • Feng Tao

Abstract

Nowadays, rule mining technologies are widely applied in various areas including management science and operations research, with the objective to find the underlying pattern and tendency as soon as possible in a large dataset as well as to reduce the cost. However, in many real applications, we are often confronted with incomplete datasets and consequently it is not able for us to induce the perfect decision list. To alleviate this problem, we try to incorporate with partial decision lists even the data is incomplete. This method can enable us to respond quickly to real changes of the world. Although partial decision lists shed light on this promising research aspect, one problem is that, to the best of our knowledge, there exists no canonical form of partial decision lists. In this paper we try to provide the canonical form in order to facilitate researchers who are interested in developing new methods for rule mining with incomplete datasets.

Suggested Citation

  • Hao Shao & Rui Xu & Feng Tao, 2015. "Canonical form of partial decision list," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 19(3), pages 422-432.
    • Handle: RePEc:ids:ijisen:v:19:y:2015:i:3:p:422-432
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=68225
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijisen:v:19:y:2015:i:3:p:422-432. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=188 .

    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.