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Spam Filtering: Online Naive Bayes Based on TONE
Guanglu Sun, Hongyue Sun, Yingcai Ma, and Yuewu Shen
ZTE Communications    2013, 11 (2): 51-54.   DOI: DOI:10.3969/j.issn.1673-5188.2013.02.008
Abstract66)      PDF (330KB)(133)       Save
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.
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