Spam Filtering Model Based on kNN
Zeng Guo · Journal of Tongren University · 2008
The paper analyze the KNN(k near neighbour)algorithm,presents spam filtering Model based on kNN.The model classfied the spam,matched the unknown mails to corresponding class according to KNN.the model can foreclose error classification about licit mails,and affiliate error classified mails to training data.Sequentially,it can improve efficiency for latter similar mails.