JOURNAL ARTICLE

Detecting spam messages using the naive Bayes algorithm of basic machine learning

Khamdamov Rustam KhamdamovichHaydarov Elshod

Year: 2021 Journal:   2021 International Conference on Information Science and Communications Technologies (ICISCT) Vol: 2 Pages: 1-3

Abstract

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.

Keywords:
Naive Bayes classifier Computer science Machine learning Artificial intelligence Bayes' theorem Table (database) Algorithm Bayesian programming Statistical classification Support vector machine Data mining Bayesian probability Bayes factor

Metrics

6
Cited By
1.72
FWCI (Field Weighted Citation Impact)
12
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Spam and Phishing Detection
Physical Sciences →  Computer Science →  Information Systems
Advanced Computational Techniques in Science and Engineering
Physical Sciences →  Computer Science →  Information Systems
Advanced Data Processing Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
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