Conference paper

VRÁNSKY Radovan and SCHWARZ Josef. Content based spam filtering algorithm:Experimental study. In: 19th International Conference on Soft Computing, Mendel 2013. Brno: Faculty of Mechanical Engineering BUT, 2013, pp. 277-282. ISBN 978-80-214-4755-4.
Publication language:english
Original title:Content based spam filtering algorithm:Experimental study
Title (cs):Filtrační algoritmus spamů založený na analýze jejich obsahu
Pages:277-282
Proceedings:19th International Conference on Soft Computing, Mendel 2013
Conference:19th International Conference on Soft Computing
Place:Brno, CZ
Year:2013
ISBN:978-80-214-4755-4
Publisher:Faculty of Mechanical Engineering BUT
Keywords
spam filter, naive Bayes filteri, umělé imunitní systémy, hybridní algoritmy
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Radovan Vr{\'{a}}nsky and Josef Schwarz},
   title = {Content based spam filtering algorithm:Experimental study},
   pages = {277--282},
   booktitle = {19th International Conference on Soft Computing, Mendel 2013},
   year = {2013},
   location = {Brno, CZ},
   publisher = {Faculty of Mechanical Engineering BUT},
   ISBN = {978-80-214-4755-4},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10495}
}

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