Structure-based bi-layer nBayes filtering model
基于结构特征的nBayes双层过滤模型

Naive Bayes algorithm has been widely used in spam filtering,due to its simple mechanism and excellent performance.But when the structures are very different between two email corpus,the feature distributions vary a lot.The diversity of the feature distributions also affects the performance of Naive Bayes.The problem above was analyzed,and a structure-based 2-layers nBayes filtering model was provided,which used different nBayes filter to train and classify mail of different structure.Experiments show that Naive Bayes algorithm's performance improves a lot with this model.