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Customer churn prediction model: a case of the telecommunication market Cover

Customer churn prediction model: a case of the telecommunication market

ECONOMICS
Volume 10 (2022): Issue 2 (December 2022)
By: Yana Fareniuk,  Tetiana Zatonatska,  Oleksandr Dluhopolskyi and  Oksana Kovalenko  
Open Access
|Dec 2022

Authors

Yana Fareniuk

Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

Tetiana Zatonatska

Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

Oleksandr Dluhopolskyi

dlugopolsky77@gmail.com

WSEI University, Lublin, Poland
West Ukrainian National University, Ternopil, Ukraine

Oksana Kovalenko

Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
DOI: https://doi.org/10.2478/eoik-2022-0021 | Journal eISSN: 2303-5013 | Journal ISSN: 2303-5005
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Language: English
Page range: 109 - 130
Submitted on: Aug 22, 2022
|
Accepted on: Nov 4, 2022
|
Published on: Dec 12, 2022
Published by: Oikos Institut d.o.o.
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year
Keywords:
marketing,
classify customers,
telecommunications market,
machine learning,
prediction,
Data Science models
Related subjects:
Business and economics,
Political economics,
Economic theory, systems and structures,
Microeconomics,
Macroeconomics,
Public finance and fiscal theory

© 2022 Yana Fareniuk, Tetiana Zatonatska, Oleksandr Dluhopolskyi, Oksana Kovalenko, published by Oikos Institut d.o.o.
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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