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 |
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| container_title | ZTE Communications |
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| creator | Sun, G Sun, H Ma, Y Shen, Y |
| description | 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. |
| doi_str_mv | 10.3969/j.issn.1673-5188.2013.02.008 |
| format | Article |
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| identifier | ISSN: 1673-5188 |
| ispartof | ZTE Communications, 2013-06, Vol.11 (2), p.51-54 |
| issn | 1673-5188 |
| language | eng |
| recordid | cdi_wanfang_journals_zxtxjs_e201302009 |
| source | Alma/SFX Local Collection |
| subjects | 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 |
| title | Spam Filtering： Online Naive Bayes Based on TONE |
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