Spam detection using Compression and PSO

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86085001" target="_blank" >RIV/61989100:27240/12:86085001 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/12:86085001
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Spam detection using Compression and PSO
Original language description
The problem of spam emails is still growing. Therefore, developing of algorithms which are able to solve this problem is also very active area. This paper presents two different algorithms for spam detection. The first algorithm is based on Bayesian filter, but it is improved using data compression algorithms in case that the Bayesian filter cannot decide. The second algorithm is based on document classification algorithm using Particle Swarm Optimization. Results of presented algorithms are promising.
Czech name
—
Czech description
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2012 4th International Conference on Computational Aspects of Social Networks, CASoN 2012 : 21 ? 23 November 2012, S?o Carlos, Brazil
ISBN
978-1-4673-4793-8
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
263-270
Publisher name
IEEE
Place of publication
New York
Event location
Sao Carlos
Event date
Nov 21, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000314803000045

Similar results(10)