Analysis of Machine Learning Methods Using Spam Filtering

Authors

  • Nataliya Boyko Lviv Polytechnic National University
  • Oleksandra Dypko Lviv Polytechnic National University

DOI:

https://doi.org/10.31713/MCIT.2021.06

Abstract

The paper considers methods of the naive Bayesian classifier. Experiments that show independence between traits are described. Describes the naive Bayesian classifier used to filter spam in messages. The aim of the study is to determine the best method to solve the problem of spam in messages. The paper considers three different variations of the naive Bayesian classifier. The results of experiments and research are given.

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Published

2021-11-21

How to Cite

Boyko, N., & Dypko, O. (2021). Analysis of Machine Learning Methods Using Spam Filtering. Modeling, Control and Information Technologies, (5), 25–28. https://doi.org/10.31713/MCIT.2021.06

Issue

No. 5 (2021): Modeling, control and information technologies

Section

index

License

Copyright (c) 2021 Modeling, Control and Information Technologies: Proceedings of International scientific and practical conference

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All materials are distributed under the terms of the Creative Commons Attribution 4.0 International License, which allows others to distribute the work with attribution to the authorship of this work and the first publication in this journal.