Research on Algorithm of Chinese E-mail Filtering for Client
LI Xiang-lin · Journal of Lanzhou Jiaotong University · 2010
The thesis proposes an improved least risk Bayesian algorithm,which is installed on the client for chinese e-mail filtering to adapt to individual requirements.The experiment result shows that the improved algorithm is feasible compared to the traditional Bayesian algorithm,and this method can greatly decrease the false positive rate of spam.The experiment tests the effects of the loss factor and the characteristic number on the result of the filtering,obtaining a set of preferable parameters and offering a beneficial way for chinese e-mail filtering.