IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v136y2002i2p282-289.html
   My bibliography  Save this article

Applying decision tree methodology for rules extraction under cognitive constraints

Author

Listed:
  • Muller, Wolfgang
  • Wiederhold, Eckhard

Abstract

No abstract is available for this item.

Suggested Citation

  • Muller, Wolfgang & Wiederhold, Eckhard, 2002. "Applying decision tree methodology for rules extraction under cognitive constraints," European Journal of Operational Research, Elsevier, vol. 136(2), pages 282-289, January.
  • Handle: RePEc:eee:ejores:v:136:y:2002:i:2:p:282-289
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(01)00115-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tso, Geoffrey K.F. & Yau, Kelvin K.W., 2007. "Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks," Energy, Elsevier, vol. 32(9), pages 1761-1768.
    2. Hong, Taehoon & Koo, Choongwan & Jeong, Kwangbok, 2012. "A decision support model for reducing electric energy consumption in elementary school facilities," Applied Energy, Elsevier, vol. 95(C), pages 253-266.
    3. Chikalov, Igor & Hussain, Shahid & Moshkov, Mikhail, 2018. "Bi-criteria optimization of decision trees with applications to data analysis," European Journal of Operational Research, Elsevier, vol. 266(2), pages 689-701.
    4. Swaminathan, Kritika & Venkitasubramony, Rakesh, 2024. "Demand forecasting for fashion products: A systematic review," International Journal of Forecasting, Elsevier, vol. 40(1), pages 247-267.
    5. Jeong, Jaewook & Hong, Taehoon & Ji, Changyoon & Kim, Jimin & Lee, Minhyun & Jeong, Kwangbok, 2016. "Development of an integrated energy benchmark for a multi-family housing complex using district heating," Applied Energy, Elsevier, vol. 179(C), pages 1048-1061.
    6. Thomassey, Sébastien, 2010. "Sales forecasts in clothing industry: The key success factor of the supply chain management," International Journal of Production Economics, Elsevier, vol. 128(2), pages 470-483, December.
    7. Azad, Mohammad & Moshkov, Mikhail, 2017. "Multi-stage optimization of decision and inhibitory trees for decision tables with many-valued decisions," European Journal of Operational Research, Elsevier, vol. 263(3), pages 910-921.

    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:eee:ejores:v:136:y:2002:i:2:p:282-289. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.