IDEAS home Printed from https://ideas.repec.org/a/igg/joris0/v6y2015i4p1-18.html
   My bibliography  Save this article

Component-Based Decision Trees: Empirical Testing on Data Sets of Account Holders in the Montenegrin Capital Market

Author

Listed:
  • Ljiljana Kašćelan

    (Faculty of Economics, University of Montenegro, Podgorica, Montenegro)

  • Vladimir Kašćelan

    (Faculty of Economics, University of Montenegro, Podgorica, Montenegro)

Abstract

Popular decision tree (DT) algorithms such as ID3, C4.5, CART, CHAID and QUEST may have different results using same data set. They consist of components which have similar functionalities. These components implemented on different ways and they have different performance. The best way to get an optimal DT for a data set is one that use component-based design, which enables user to intelligently select in advance implemented components well suited to specific data set. In this article the authors proposed component-based design of the optimal DT for classification of securities account holders. Research results showed that the optimal algorithm is not one of the original DT algorithms. This fact confirms that the component design provided algorithms with better performance than the original ones. Also, the authors found how the specificities of the data influence the DT components performance. Obtained results of classification can be useful to the future investors in the Montenegrin capital market.

Suggested Citation

  • Ljiljana Kašćelan & Vladimir Kašćelan, 2015. "Component-Based Decision Trees: Empirical Testing on Data Sets of Account Holders in the Montenegrin Capital Market," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 6(4), pages 1-18, October.
    • Handle: RePEc:igg:joris0:v:6:y:2015:i:4:p:1-18
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJORIS.2015100101
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:joris0:v:6:y:2015:i:4:p:1-18. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.