Advanced Search
MyIDEAS: Login to save this article or follow this journal

Concept of Web Usage Mining

Contents:

Author Info

  • Istrate Mihai

    ()
    (University of Pitesti)

Registered author(s):

    Abstract

    Web mining is the use of data mining techniques to automatically discover and extract information from World Wide Web documents and services. This article considers the question: is effective Web mining possible? Skeptics believe that the Web is too unstructured for Web mining to succeed. Indeed, data mining has been applied to databases traditionally, yet much of the information on the Web lies buried in documents designed for human consumption such as home pages or product catalogs. Furthermore, much of the information on the Web is presented in natural language text with no machine-readable semantics; HTML annotations structure the display of Web pages, but provide little insight into their content. Some have advocated transforming the Web into a massive layered database to facilitate data mining, but the Web is too dynamic and chaotic to be tamed in this manner.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://stec.univ-ovidius.ro/html/anale/RO/cuprins%20rezumate/rezumate2011p1.pdf
    Download Restriction: no

    Bibliographic Info

    Article provided by Ovidius University of Constantza, Faculty of Economic Sciences in its journal Ovidius University Annals, Economic Sciences Series.

    Volume (Year): XI (2011)
    Issue (Month): 1 (May)
    Pages: 1067-1071

    as in new window
    Handle: RePEc:ovi:oviste:v:11:y:2011:i:1:p:1067-1071

    Contact details of provider:
    Web page: http://www.univ-ovidius.ro/facultatea-de-stiinte-economice
    More information through EDIRC

    Related research

    Keywords: web mining; web usage mining; data preprocesing;

    Find related papers by JEL classification:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:ovi:oviste:v:11:y:2011:i:1:p:1067-1071. 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: (Jeflea Victor).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.