Independent feature selection as spam-filtering technique: an evaluation of neural network
Masurah Mohamad, Khairulliza Ahmad Salleh · Computational intelligence · 2011
One of the fastest and most economical forms of communication in the recent years is email. Due to its popularity, it is prone to be exploited. One such exploitation is the posting of unsolicited, unwanted commercial emails known as spam or junk emails. This paper presents and discusses on independent feature selection as spam filtering technique and Neural Network was chosen as the filtering technique used to evaluate its effectiveness. From the experiments, it shows that Neural Network does not yield accurate filtering results. We also investigate on another spam filtering technique, Bayesian, for comparison purpose.