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- W2472673211 abstract "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 Naive 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 Programming) gave better results compared to two popularly used open source Bayesian spam filters." @default.
- W2472673211 created "2016-07-22" @default.
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- W2472673211 date "2016-01-01" @default.
- W2472673211 modified "2023-09-28" @default.
- W2472673211 title "SPAM Detection: Naïve Bayesian Classification and RPN Expression-Based LGP Approaches Compared" @default.
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- W2472673211 doi "https://doi.org/10.1007/978-3-319-33622-0_36" @default.
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