Developing methods and heuristics with low time complexities for filtering spam messages


GÜNGÖR T., Çiltik A.

12th International Conference on Applications of Natural Language to Information Systems, NLDB 2007, Paris, Fransa, 27 - 29 Haziran 2007, cilt.4592 LNCS, ss.35-47, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 4592 LNCS
  • Doi Numarası: 10.1007/978-3-540-73351-5_4
  • Basıldığı Şehir: Paris
  • Basıldığı Ülke: Fransa
  • Sayfa Sayıları: ss.35-47
  • Anahtar Kelimeler: Heuristics, N-gram methods, Spam e-mails, Turkish
  • Boğaziçi Üniversitesi Adresli: Evet

Özet

In this paper, we propose methods and heuristics having high accuracies and low time complexities for filtering spam e-mails. The methods are based on the n-gram approach and a heuristics which is referred to as the first n-words heuristics is devised. Though the main concern of the research is studying the applicability of these methods on Turkish e-mails, they were also applied to English e-mails. A data set for both languages was compiled. Extensive tests were performed with different parameters. Success rates of about 97% for Turkish e-mails and above 98% for English e-mails were obtained. In addition, it has been shown that the time complexities can be reduced significantly without sacrificing from success. © Springer-Verlag Berlin Heidelberg 2007.