摘要
针对解决企业产品数据管理中共享数据和动态传送文档问题,提出了一个高效过滤垃圾邮件的解决方案。方案综合平衡了黑白名单技术,贝叶斯算法的优点和缺点,通过分析垃圾邮件关键词的统计概率分布,建立了贝叶斯概率模型,并设计和实现了一套综合邮件过滤系统,实现了精确而智能的垃圾邮件过滤。
This paper puts forward a design for enterprise products to solve the problem- the management of shared data and dynamic delivery of files. The design comprehensively balances the advantages and disadvantages of Black and White List Spare Filtering and Bayesian. Based on the analysis of statistic probability distributions of Junk key words, we have structured the Bayesian model,to achieve a comprehensive filtering system, which can filter with accuracy and intelligence.
出处
《航空计算技术》
2008年第4期97-99,共3页
Aeronautical Computing Technique
基金
国防预研基金项目(Z0900C003)
关键词
PDM
工作流程管理
垃圾邮件
邮件过滤
贝叶斯算法
product drawing management system
work flow management
Junk
anti- spam
bayesian
