| The E-mail is the most commonly used on the Internet, also the important tool which people carries on communion mutually. But the e-mail has initiated the massive questions while brings the huge convenience to people, massive e-mail is useless even harmful in network dissemination, not only consumed the massive networks resources, moreover seriously threatens the mail system user information security. More serious problem is some harmful content includes the pornographic and reactionary, not only hinders the user to use the e-mail, also endangered the national security. Therefore the effective preventing and controlling junk e-mail is realistic question of vital meaning.At the present time, the multimedia is the development direction of the E-mail system, but the text e-mail is the way to sent messages and transfer documents for most consumers in common use. Because of the difference of the interests and differentiation ability between customers, the filtration method based on the e-mail content will be a very effective way to realize the individuation e-mail filtration by using Bayesian algorithm.The machine learning technology provided the method to filter the e-mail. This paper emphasized introduces with how uses the Bayesian... |
