STATISTICAL MACHINE LEARNING USED IN INTEGRATED ANTI-SPAM SYSTEM

摘要

IASS is the integrated anti-spam system, which adopts Machine Learning to filter spam in a intelligent, flexible, precise, and self-adaptive way.The methods of linear classification based on Optimal Separating Hyperplane and K-means Clustering are used in Action Recognition Layer.The method of Improved Naive Bayes is used in Content Analysis Layer.The application of Machine Learning helps improve the performance of IASS.