Incremental adaptive spam mail filtering using naïve Bayesian classification
Most content based spam filters are rule based or trained off-line. Handling new spam tactics is difficult and prone to high misclassification rate. This paper proposes an incremental adaptive spam mail filtering using Naïve Bayesian classification which gives good performance, simplicity and adapta...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/27448 |
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| Institution: | Mahidol University |