Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Vránsky Radovan, Ing.
Schwarz Josef, doc. Ing., CSc., UPSY (FIT)
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

Rok
2013
Strany
277–282
Sborník
19th International Conference on Soft Computing, Mendel 2013
Konference
19th International Conference on Soft Computing
ISBN
978-80-214-4755-4
Vydavatel
Faculty of Mechanical Engineering BUT
Místo
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"
}
Projekty
Natural computing na nekonvenčních platformách, GAČR, Standardní projekty, GAP103/10/1517, zahájení: 2010-01-01, ukončení: 2013-12-31, řešení
Výzkumné skupiny
Výzkumná skupina aplikovaných evolučních algoritmů (VZ EVA)
Pracoviště
Ústav počítačových systémů (UPSY)
Nahoru