To delete spams from User data stream,an adaptive self-learning spam filtering system has been studied and presented.On the basis of cost analysis mistakenly classified of normal and spam e-mail,a filter to meet the requirements of filtering tasks with learning methods of probabilistic is created,and the use of mail domain name characteristic variables for a particular e-mail filtering is studied.Finally,experiments verify the reliability of the algorithm.