在系统运行初期，由用户指定邮件的类别，系统根据用户的分类建立用户兴趣模型。
In the initial stage of system, user appoints the classification of every mail and system set up a user model according to the classification.
提出了一个基于概念向量空间模型的电子邮件分类方法。
A new approach of email classification based on the concept vector space model was proposed.
针对这一现状，本文研究了电子邮件分类管理的模型与技术，以提高企业对电子邮件信息管理的能力。
Under this situation, this paper undertakes the study of email management model and technology in order to improve the email message analysis ability of the enterprises.
实验证明，该模型在简单、高效的同时降低了对垃圾邮件分类的错误率。
This method is simple and efficient and decreases the classification error ratio.
将粗糙集与决策树结合，提出一个基于RS - DT的邮件分类方案与模型，并进行了实验及结果分析。
Combining rough sets with decision tree, a spam filtering solution based on rough sets and decision tree (RS-DT) was proposed.
将粗糙集与决策树结合，提出一个基于RS - DT的邮件分类方案与模型，并进行了实验及结果分析。
Combining rough sets with decision tree, a spam filtering solution based on rough sets and decision tree (RS-DT) was proposed.
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