Detecting spam messages using the naive Bayes algorithm of basic machine learning
Khamdamov Rustam KhamdamovichTashkent university of information technologies named after Muhammad al-Khwarazmi,Tashkent,UzbekistanHaydarov ElshodTashkent university of information technologies named after Muhammad al-Khwarazmi,Tashkent,Uzbekistan
2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en
ABI
Annotatsiya
In this article, we consider the definition of spam messages using the naive Bayes algorithm based on machine learning and study the algorithm of inclusion. A table has been compiled for determining spam/non-spam by example and calculating using the naive Bayes algorithm based on machine learning.
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