Spam Filtering:Online Naive Bayes Based on TONE

被引：3
|
作者：
Guanglu Sun [1 ]
Hongyue Sun [2 ]
Yingcai Ma [3 ]
Yuewu Shen [3 ]
机构：
[1] Research Institute of Information Technology,Tsinghua University
[2] ZTE Corporation
[3] School of Computer Science and Technology,Harbin University of Science and Technology
来源：
ZTE Communications | 2013年 / 11卷 / 02期
基金：
高等学校博士学科点专项科研基金; 中国国家自然科学基金;
关键词：
spam filtering; online naive Bayes; train-on or near error;
D O I：
暂无
中图分类号：
TP393.098 [];
学科分类号：
080402 ;
摘要：
The naive Bayes(NB) model has been successfully used to tackle spam,and is very accurate.However,there is still room for improvement.We use a train on or near error(TONE) method in online NB to enhance the performance of NB and reduce the number of training emails.We conducted an experiment to determine the performance of the improved algorithm by plotting(1-ROCA)% curves.The results show that the proposed method improves the performance of original NB.
引用
收藏
页码：51 / 54
页数：4
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