Support Vector Machine and its Application in the E-mail Filtering

E-mail has become an indispensable way in people's daily life.However,vast of spam has threatened the computer network security and has brought great inconvenience to people's normal information exchange,so anti-spam is becoming more and more important.Support vector machine which is based on statistical learning theory has been developed a new machine learning method.It can solve small-sample,non-linear and high dimension problems.Therefore,support vector machine is applied to spam filtering.At first,the e-mail is preprocessed,the appropriate features are extracted,the e-mail is transformed into a space vector.At last,support vector machine is used to classify the e-mail.Experimental results showed that support vector machine could improve the filtering performance.