IDEAS home Printed from https://ideas.repec.org/a/ovi/oviste/v10y2010i1p688-691.html
   My bibliography  Save this article

Data Preprocessing in Web Usage Mining

Author

Listed:
  • Istrate Mihai

    () („Constantin Brâncoveanu”University of Pitesti)

Abstract

Data collected from Web in the first stage of data mining are usually diverse and voluminous. These data must be assembled into a consistent, integrated and comprehensive view, in order to be used for pattern discovery. Like in most applications of data mining, data preprocessing involves removing and filtering redundant and irrelevant data, predicting and filling in missing values, removing noise, transforming and encoding data, as well as resolving any inconsistencies. The task of data transformation and encoding is particularly important for the success of data mining.

Suggested Citation

  • Istrate Mihai, 2010. "Data Preprocessing in Web Usage Mining," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 688-691, May.
  • Handle: RePEc:ovi:oviste:v:10:y:2010:i:1:p:688-691
    as

    Download full text from publisher

    File URL: http://stec.univ-ovidius.ro/html/anale/RO/cuprins%20rezumate/rezumatemai2010.pdf
    Download Restriction: no

    More about this item

    Keywords

    data preprocessing; data filtering; user identification; users session identification.;

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    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:ovi:oviste:v:10:y:2010:i:1:p:688-691. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gheorghiu Gabriela). General contact details of provider: http://edirc.repec.org/data/feoviro.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.