Classify E-mails by Support Vector Machine
Qing Wang · 2007
With the rapid explosion of unsolicited bulk e-mail,also known asspam,has generated a great need for reliable anti-spam e-mail filters.Mail filtering technique is to used to detect the spare and find what’s useful.We dis- cuss the theorem to implement anti-spare,and propose an improved anti-spam mechanism based upon Support Vector Machine,mutual information and Z-test.We demonstrate the performance and positive results of the algorithm on a challenging problem.