Research on spam identification based on social computing and machine learning
Dong Yua · Journal of Shandong University · 2013
Based on the investigation and analysis of the current various spam recognition methods,a new spam identification method is proposed inspiring by social computing theory and methods of machine learning.Firstly,initial recognition of spams is taken using a relationship map of the interactions among contacts,w hich is constructed w ith the help of the characteristics in the mail heads reflecting the social relation of contacts.After that,for the mails of the contacts w hich are not able to be identified having social relation,recognition methods based on machine learning are taken.Through the experiments,it is demonstrated that the proposed method can identify spams more accurately w hile taking a shorter time,comparing w ith the ones based on Nave Bayes.