基于改进的贝叶斯中文垃圾邮件过滤方法研究

基于内容的垃圾邮件过滤问题是Internet安全技术研究的一个重点问题,而基于贝叶斯的分类方法在垃圾邮件处理上表现了很高的准确度,因此受到了广泛的关注。本文将一种基于模拟退火遗传算法的贝叶斯分类方法引入到中文垃圾邮件过滤中,提高了分类的精确度。实验证明,算法在邮件过滤中有更好的表现。

A Mining User Traversal Interesting Paths Algorithm

Nowadays, the study on content-based spam filtering is one of the hot topics in the Internet security research area all over the world. And Bayesian classification method has expressed high accuracy. This paper will be based on a simulated annealing genetic algorithm Bayesian classification introduced to the Chinese spam filter, Improved the accuracy of the classification. Experiment shows that this algorithm has better performance.