FDT Based Mail Algorithm Research
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 converts the message classification rules, the use of these rules can improve the classification accuracy and efficiency of the message, to realize the intelligent spam filter.
Fuzzy-ID3 Decision tree Spam
ZHAO Kai XIAO Yongsheng YANG Hongxue
Beijing Polytechnic, Beijing, 100016
国际会议
2012 International Symposium --Educational Research and Educational Technology(2012教育研究与教育技术国际学术会议)
合肥
英文
115-118
2012-04-07（万方平台首次上网日期，不代表论文的发表时间）