THE STUDY ON CONTENT-BASED ANTI-SPAM FILTERING SYSTEM MODEL
SU Yi-la · Journal of Inner Mongolia Agricultural University · 2013
In the anti-spam systems,content-based filtering technology has been widely used and.Bayesian statistical method is used in the message text filter to obtain a better performance.In this paper,Bayesian filtering algorithm is applied to construct the anti-spam system model.The application performance evaluation of Bayesian filtering algorithm multivariate Bernoulli event model and event model based on word frequency polynomial verification and evaluation of experimental results indicated that if sufficient training sample conditions,the training sample set and in accordance with the variation adjustment of spam,Bayesian filtering algorithm will be high spam filtering performance and anti-spam results are obvious.