Spam Filtering： Online Naive Bayes Based on TONE

Spam Filtering： Online Naive Bayes Based on TONE

The naive, Bayes （NB） model has been successfully used to tackle spare, and is very accurate. However, there is still room for improwment. We use a train on or near error （TONE） method in online NB to enhance the perfornmnee of NB and reduce the number of training emails. We conducted an experiment...

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Veröffentlicht in:ZTE Communications 2013-06, Vol.11 (2), p.51-54
Hauptverfasser: Sun, G, Sun, H, Ma, Y, Shen, Y
Format: Artikel
Sprache:eng
Schlagworte:
Bayesian analysis
Filtering
On-line systems
Online
Performance enhancement
Plotting
Spamming
Trains
在线
垃圾邮件过滤
改进算法
曲线绘制
朴素贝叶斯
电子邮件
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Beschreibung
Zusammenfassung:The naive, Bayes （NB） model has been successfully used to tackle spare, and is very accurate. However, there is still room for improwment. We use a train on or near error （TONE） method in online NB to enhance the perfornmnee of NB and reduce the number of training emails. We conducted an experiment to determine the performanee of the improved algorithm by plotting （I-ROCA）% curves. The resuhs show that the proposed method improves the performanee of original NB.
ISSN:1673-5188
DOI:10.3969/j.issn.1673-5188.2013.02.008