A SPIT recognition method with refined classification
Xiaojia Li · Journal of Zhengzhou University of Light Industry · 2014
In order to screen the spreading spam over Internet telephony(SPIT) user,a recognition method was built based on weighted k-means and support vector machine(SVM).This method built a communication network model according to historical communication activities of customers,and clustered semi-supervised by weighted k-means algorithm.Then it equally selected part of customers data from each classified cluster as the training set and finally processed the rest data by using SVM method.Experimental data showed that this method could make the classification more refined and had forecast function and certain ability of machine learning.It can be used for the discovery of important customers,relevant customers and service recommendation,etc.