摘要
为完成在邮件服务器内部过滤垃圾邮件的任务,参考经典贝叶斯模型,研究有自动调节能力的模型算法。以实验室样本邮件为目标,定义过滤器算法模型,并对系统环境变量设置进行讨论[5],最后对测试邮件文件进行加工,证明了模型设计的合理性。
For the completion of spam filtering jobs in the mail server, a model algorithm with automatic regulation ability is researched, referring to the classic Bayesian model. With the sample mail as the target, a filter algorithm model is defined and the environment variables are analyzed. At last, the sample mail files are processed. It proves that the model design is reasonable.
出处
《北京石油化工学院学报》
2013年第3期55-57,共3页
Journal of Beijing Institute of Petrochemical Technology
基金
齐齐哈尔市科技局工业攻关项目(GYGG2010-06-2)
