Publication detail

Content based spam filtering algorithm:Experimental study

VRÁNSKY, R. SCHWARZ, J.

Original Title

Content based spam filtering algorithm:Experimental study

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

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

Authors

VRÁNSKY, R.; SCHWARZ, J.

RIV year

2013

Released

26. 6. 2013

Publisher

Faculty of Mechanical Engineering BUT

Location

Brno

ISBN

978-80-214-4755-4

Book

19th International Conference on Soft Computing, Mendel 2013

Pages from

277

Pages to

282

Pages count

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"
}