Abstract:
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 di...Show MoreMetadata
Abstract:
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.
Published in: 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)
Date of Conference: 21-23 November 2012
Date Added to IEEE Xplore: 17 January 2013
ISBN Information: