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SPAM Detection: Naïve Bayesian Classification and RPN Expression-Based LGP Approaches Compared
[chapter]
2016
Advances in Intelligent Systems and Computing
An investigation is performed of a machine learning algorithm and the Bayesian classifier in the spam-filtering context. The paper shows the advantage of the use of Reverse Polish Notation (RPN) expressions with feature extraction compared to the traditional Naïve Bayesian classifier used for spam detection assuming the same features. The performance of the two is investigated using a public corpus and a recent private spam collection, concluding that the system based on RPN LGP (Linear Genetic
doi:10.1007/978-3-319-33622-0_36
fatcat:2wd2kb6ajnewnkhpa6rpekdtne