IDEAS home Printed from https://ideas.repec.org/a/igg/jdwm00/v2y2006i4p1-26.html
   My bibliography  Save this article

A Data Mining-Based OLAP Aggregation of Complex Data: Application on XML Documents

Author

Listed:
  • Riadh Ben Messaoud

    (University of Lyon 2, France)

  • Omar Boussaid

    (University of Lyon 2, France)

  • Sabine Loudcher Rabaséda

    (University of Lyon 2, France)

Abstract

Nowadays, most organizations deal with complex data that have different formats and come from different sources. The XML formalism is evolving and becoming a promising solution for modeling and warehousing these data in decision support systems. Nevertheless, classical OLAP tools still are not capable of analyzing such data. In this article, we associate OLAP and data mining to cope with advanced analysis on complex data. We provide a generalized OLAP operator, called OpAC, based on the AHC. OpAC is adapted for all types of data, since it deals with data cubes modeled within XML. Our operator enables significant aggregates of facts expressing semantic similarities. Evaluation criteria of aggregates’ partitions are proposed in order to assist the choice of the best partition. Furthermore, we developed a Web application for our operator. We also provide performance experiments and drive a case study on XML documents dealing with the breast cancer research domain.

Suggested Citation

  • Riadh Ben Messaoud & Omar Boussaid & Sabine Loudcher Rabaséda, 2006. "A Data Mining-Based OLAP Aggregation of Complex Data: Application on XML Documents," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 2(4), pages 1-26, October.
    • Handle: RePEc:igg:jdwm00:v:2:y:2006:i:4:p:1-26
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdwm.2006100101
    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:jdwm00:v:2:y:2006:i:4:p:1-26. 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.