Fuzzy Decision Tree Algorithm in the Mail Classification Application
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.
NETL
NSTL
万方数据
维普
