IDEAS home Printed from https://ideas.repec.org/a/igg/jirr00/v3y2013i1p43-59.html
   My bibliography  Save this article

The Impact of the Mode of Data Representation for the Result Quality of the Detection and Filtering of Spam

Author

Listed:
  • Reda Mohamed Hamou

    (Computer Science Department, Dr Moulay Tahar University of Saïda, Saïda, Algeria)

  • Abdelmalek Amine

    (Computer Science Department, Dr Moulay Tahar University of Saïda, Saïda, Algeria)

Abstract

Spam is now seized of the Internet in phenomenal proportions since it high represents a percentage of total emails exchanged on the Internet. In the fight against spam, the authors are interested in this article to develop a hybrid algorithm based primarily on the probabilistic model in this case Naïve Bayes for weighting the terms of the matrix term -category and second place used an algorithm of unsupervised learning (K-means) to filter two classes namely spam and ham. To determine the sensitive parameters that improve the classifications the authors are interested in studying the content of the messages by using a representation of messages by the n-gram words and characters independent of languages (because a message may be received in any language) to later decide what representation opt to get a good classification. The authors have chosen several metrics evaluation to validate their results.

Suggested Citation

  • Reda Mohamed Hamou & Abdelmalek Amine, 2013. "The Impact of the Mode of Data Representation for the Result Quality of the Detection and Filtering of Spam," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 3(1), pages 43-59, January.
    • Handle: RePEc:igg:jirr00:v:3:y:2013:i:1:p:43-59
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2013010103
    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:jirr00:v:3:y:2013:i:1:p:43-59. 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.