10/10/2023 0 Comments Text spammer programSpammers collect a plethora of e-mail addresses without the consent of the owners of these addresses. Introduction With the explosive growth of the Internet, so comes the proliferation of spams. Compared with keyword-spotting rules, the probabilistic approach taken in SpamCop not only offers high accuracy, but also overcomes the brittleness suffered by the keyword spotting approach. SpamCop treats an e-mail message as a multiset of words and employs a naive Bayes algorithm to determine whether or not a message is likely to be a spam. We present a simple, yet highly accurate, spam filtering program, called SpamCop, which is able to identify about 92% of the spams while misclassifying only about 1.16% of the nonspam e-mails.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |