IDEAS home Printed from https://ideas.repec.org/a/aes/infoec/v15y2011i4p79-95.html
   My bibliography  Save this article

A Mining Algorithm for Extracting Decision Process Data Models

Author

Listed:
  • Cristina-Claudia DOLEAN
  • Razvan PETRUSEL

Abstract

The paper introduces an algorithm that mines logs of user interaction with simulation software. It outputs a model that explicitly shows the data perspective of the decision process, namely the Decision Data Model (DDM). In the first part of the paper we focus on how the DDM is extracted by our mining algorithm. We introduce it as pseudo-code and, then, provide explanations and examples of how it actually works. In the second part of the paper, we use a series of small case studies to prove the robustness of the mining algorithm and how it deals with the most common patterns we found in real logs.

Suggested Citation

  • Cristina-Claudia DOLEAN & Razvan PETRUSEL, 2011. "A Mining Algorithm for Extracting Decision Process Data Models," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(4), pages 79-95.
    • Handle: RePEc:aes:infoec:v:15:y:2011:i:4:p:79-95
    as

    Download full text from publisher

    File URL: http://www.revistaie.ase.ro/content/60/06%20-%20Dolean,%20Petrusel.pdf
    Download Restriction: no
    ---><---

    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:aes:infoec:v:15:y:2011:i:4:p:79-95. 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: Paul Pocatilu (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.