Study on the effectiveness of anomaly detection for spam filtering

  1. Laorden, C.
  2. Ugarte-Pedrero, X.
  3. Santos, I.
  4. Sanz, B.
  5. Nieves, J.
  6. Bringas, P.G.
Revue:
Information Sciences

ISSN: 0020-0255

Année de publication: 2014

Volumen: 277

Pages: 421-444

Type: Article

DOI: 10.1016/J.INS.2014.02.114 GOOGLE SCHOLAR
La source de données: Scopus