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The Data-Mining and the Technology of Agents to Fight the Illicit Electronic Messages

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Methodologies for Knowledge Discovery and Data Mining (PAKDD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1574))

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Abstract

The SPAMS are these undesirable messages that we receive by the slant of the electronic mail and that promise us glory and fortune or stun us of political slogans or violent or pornographic contents. The following article shows how to use techniques of data mining, like methods of supervised learning based on induction graphs, to analyse these Spams in order to be able to eliminate them from our electronic mail.

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References

  1. Email Remover, “anti-spams” component http://home.pacific.net.sg/~thantom/eremove.htm

  2. Grammatical Trigrams description of statistic approaches for the modelization of the language. http://www.rxrc.xerox.com/publis/mltt/jadt/node2.html

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Author information

Authors and Affiliations

  1. ERIC, Université Lumière, Lyon 2, France

    A. Zighed

  2. Computer Science Department, Université Laval, Canada

    M. Côté & N. Troudi

Authors
  1. A. Zighed
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  2. M. Côté
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  3. N. Troudi
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Systems Engineering, Yamaguchi University, Tokiwa-Dai, 2557, Ube, 755, Japan

    Ning Zhong

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Lizhu Zhou

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© 1999 Springer-Verlag Berlin Heidelberg

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Zighed, A., Côté, M., Troudi, N. (1999). The Data-Mining and the Technology of Agents to Fight the Illicit Electronic Messages. In: Zhong, N., Zhou, L. (eds) Methodologies for Knowledge Discovery and Data Mining. PAKDD 1999. Lecture Notes in Computer Science(), vol 1574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48912-6_61

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  • DOI: https://doi.org/10.1007/3-540-48912-6_61

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65866-5

  • Online ISBN: 978-3-540-48912-2

  • eBook Packages: Springer Book Archive

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