Result Details

Content based spam filtering algorithm:Experimental study

VRÁNSKY, R.; SCHWARZ, J. Content based spam filtering algorithm:Experimental study. 19th International Conference on Soft Computing, Mendel 2013. Brno: Faculty of Mechanical Engineering BUT, 2013. p. 277-282. ISBN: 978-80-214-4755-4.
Type
conference paper
Language
English
Authors
Vránsky Radovan, Ing.
Schwarz Josef, doc. Ing., CSc., DCSY (FIT)
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

Published
2013
Pages
277–282
Proceedings
19th International Conference on Soft Computing, Mendel 2013
Conference
19th International Conference on Soft Computing
ISBN
978-80-214-4755-4
Publisher
Faculty of Mechanical Engineering BUT
Place
Brno
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"
}
Projects
Natural Computing on Unconventional Platforms, GACR, Standardní projekty, GAP103/10/1517, start: 2010-01-01, end: 2013-12-31, running
Research groups
Applied Evolutionary Algorithms Research Group (VZ EVA)
Departments
Department of Computer Systems (DCSY)
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