Anti-Spam Technique with SVM and K-NN Collaborative Method
Mei Lu · Jiangnan daxue xuebao. Ziran kexue ban · 2007
The paper presents an improved classific algorithm which combines the support vector machine with the K-Nearest Neighbor(K-NN).In this algorithm the classification of samples in the critical zone is decided by the voting of K-NN set in the feature space and the sample space.Using the method,the filtering error rate will obviously decrease.Lots of examples show that our method is feasible.