The Research and Implementation of Spam E-mail Filtering Based on Improved Bayesian Algorithm
This thesis designed and realized a kind of spam email filtering system on the basis of the improved Bayesian algorithm. On the foundation of the Naive Bayesian classification, the further improvement was done to the Bayesian algorithm, words of the actual meaning but not single word were participated in classifying as the characteristics, the comprehensive consideration of characteristic relevance of the word and validity was also increased at the same time, which had not only improved the accuracy of classification but also improved the efficiency of classification. The experimental results also showed a better performance in the spam email filtering with this method.
Sifa Zhang Fengmei Zuo
Department of Computer Science and Technology (CST) at China University of Geosciences China Compute Department of Computer Science and Technology (CST) at China University of Geosciences now
国际会议
武汉
英文
132-135
2008-12-19（万方平台首次上网日期，不代表论文的发表时间）