Content based spam filtering algorithm:Experimental study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106450" target="_blank" >RIV/00216305:26230/13:PU106450 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Content based spam filtering algorithm:Experimental study

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GAP103%2F10%2F1517" target="_blank" >GAP103/10/1517: Natural Computing on Unconventional Platforms</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

19th International Conference on Soft Computing, Mendel 2013

ISBN

978-80-214-4755-4

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

277-282

Publisher name

Faculty of Mechanical Engineering BUT

Place of publication

Brno

Event location

Brno

Event date

Jun 26, 2013

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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