Analyzing Large Collections of E-Mail

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IKE04.pdf
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2004
Autor:innen
Panse, Christian
Schneidewind, Jörn
Sips, Mike
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Proceedings of the International Conference on Information and Knowledge Engineering. IKE ' 04, June 21 - 24, 2004, Las Vegas, Nevada, USA. Las Vegas: CSREA Pr., 2004, pp. 275-281
Zusammenfassung

One of the first applications of the Internet was the electronic mailing (e-mail). Along with the evolution of the Internet, e-mail has evolved into a powerful and popular technology. Messages, electronically documents, pictures and even movies can be send between users of computer systems at different places all over the world within seconds. Electronic mail is a fast, a cheap and a comfortable communication method. But with the exponential increase of the Internet users and the corresponding increasing e-mail traffic, new problems arise. Examples are Spam mails or computer viruses hidden in email attachments. Therefore the analysis of email and email traffic becomes more and more important. In this paper we discuss visualization methods for analyzing large amounts of e-mails to detect interesting patterns or to identify Spam e-mails.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Pattern Visualization, Visual Data Mining, Data analysis
Konferenz
KE'04, 21. Juni 2004 - 24. Juni 2004, Las Vegas, Nevada, USA
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Zitieren
ISO 690KEIM, Daniel A., Christian PANSE, Jörn SCHNEIDEWIND, Mike SIPS, 2004. Analyzing Large Collections of E-Mail. KE'04. Las Vegas, Nevada, USA, 21. Juni 2004 - 24. Juni 2004. In: Proceedings of the International Conference on Information and Knowledge Engineering. IKE ' 04, June 21 - 24, 2004, Las Vegas, Nevada, USA. Las Vegas: CSREA Pr., 2004, pp. 275-281
BibTex
@inproceedings{Keim2004Analy-5613,
  year={2004},
  title={Analyzing Large Collections of E-Mail},
  publisher={CSREA Pr.},
  address={Las Vegas},
  booktitle={Proceedings of the International Conference on Information and Knowledge Engineering. IKE ' 04, June 21 - 24, 2004, Las Vegas, Nevada, USA},
  pages={275--281},
  author={Keim, Daniel A. and Panse, Christian and Schneidewind, Jörn and Sips, Mike}
}
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