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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Bibliographic Details
Main Authors: Phimphaka Taninpong, Sudsanguan Ngamsuriyaroj
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/27448
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Institution: Mahidol University
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