Detail publikace

Content based spam filtering algorithm:Experimental study

VRÁNSKY, R. SCHWARZ, J.

Originální název

Content based spam filtering algorithm:Experimental study

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with the best known techniques spam filtering based on Bayesian filters. The emphasis is placed on the Naive Bayes spam filter which is enhanced by techniques typical for artificial immune systems. The performance of the proposed algorithm is tested for various parameters settings. The results show that the performance of the algorithm is significantly dependent on the selection of the token set (attributes) and the complexity of the tokens.

Klíčová slova

spam filter, naive Bayes filteri, umělé imunitní systémy, hybridní algoritmy

Autoři

VRÁNSKY, R.; SCHWARZ, J.

Rok RIV

2013

Vydáno

26. 6. 2013

Nakladatel

Faculty of Mechanical Engineering BUT

Místo

Brno

ISBN

978-80-214-4755-4

Kniha

19th International Conference on Soft Computing, Mendel 2013

Strany od

277

Strany do

282

Strany počet

6

BibTex

@inproceedings{BUT103590,
  author="Radovan {Vránsky} and Josef {Schwarz}",
  title="Content based spam filtering algorithm:Experimental study",
  booktitle="19th International Conference on Soft Computing, Mendel 2013",
  year="2013",
  pages="277--282",
  publisher="Faculty of Mechanical Engineering BUT",
  address="Brno",
  isbn="978-80-214-4755-4"
}