电子邮件动态分类系统的研究与应用

电子邮件已成为许多企业开展商务与办公的重要媒介,许多信息都保存在电子邮件系统。对大量邮件的管理,信息分类是一种有效的管理方法,但传统的人工文本分类方式相对静态且耗时较多。针对非结构化的邮件信息管理,提出采用动态分类体系,通过文本挖掘方法,开发一套基于多智能代理架构的电子邮件自动分类系统,提升邮件自动分类的效率。

The Study and Application of Email Dynamic Classification System

Email has been the very important media for many enterprises business activities, and much more information and knowledge is stored in enterprise email system. Information classification is an effective approach to manage a huge of emails. The traditional method of manual classification costs time. This paper prompts an automatic classification system based on dynamic taxonomy through text mining. This system is constructed on multiple intelligent agents and the efficiency of email classificationis improved.