Method of image-based spam filtering of e-mails based on image similarity detection;

Application and Improvment of Naive Bayes on anti-spam filtering;

The preprocessing method for spam filtering system is discussed.

Research on standard sample generation system for email filtering;

The disadvantages of the email filtering system based on the individual client will present when they face to the spammers who have some technologies.

Research on anti-spam e-mail filtering algorithm based on Bayesian;

As a result,research of e-mail filtering should be considered as dealing with the uncertainties.

The E-mail filtering based on text classification has become the main method to solve spam crisis at present,but it is still short of standardized pattern and filtering mechanism with high retrieval performance.

Mail Filtering with Application of Sieve;

Maximum entropy model is applied to mail filtering,and considering the semi-structure characteristic of e-mail,improved definitions of feature function are given to construct better feature vectors for e-mails.

A new expression of Email vectors in super-high dimensional vectors space, and an innovative algorithm of filtering junk-mails based on the consideration of risks of false discretion are proposed in this paper, which can minimize the risks of mail filtering by imitating the cognition learning process of human beings, and combining the method of systems classification and users discretion.