模糊决策树算法在邮件分类中的应用

Fuzzy Decision Tree Algorithm in the Mail Classification Application

电子邮件是人们交流的主要方式之一,但垃圾邮件的泛滥给使用者带来了很大的困扰。鉴于传统过滤技术的缺点,本文采用性能更优的Fuzzy-ID3方法对邮件进行分析,通过提取邮件的特征信息、数据预处理等步骤,得到一棵修剪后的模糊决策树,并转换为的邮件分类规则,使用这些规则可以提高邮件分类的准确性及效率。

Email is the exchange of one of the main ways,but the spread of spam to users has brought great distress,in view of the traditional filter technical shortcomings,this paper adopts the better performance of Fuzzy-ID3 methods for mail for analysis,through the extraction of the feature information of mail,data preprocessing step,get a tree after pruning decision tree,and converted to the message classification rules,the use of these rules can improve the classification accuracy and efficiency of mail.