A SPIT recognition method with refined classification
LI Xiao-jiao
MA Ji-ming
ZHANG Xiang-mei
Abstract：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 communica-tion network model according to historical communication activities of customers,and clustered semi-super-vised 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.
Keywords：data miningk-meanssupport vector machine(SVM)spam over Internet telephony (SPIT)
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 94-97,108 )