An Application Study of the Bayesian Model on Spam Text Classification
Cui Cha · Journal of Beijing Institute of Petro-Chemical Technology · 2013
For the completion of spam filtering jobs in the mail server,a model algorithm with automatic regulation ability is researched,referring to the classic Bayesian model.With the sample mail as the target,a filter algorithm model is defined and the environment variables are analyzed.At last,the sample mail files are processed.It proves that the model design is reasonable.