Churn rate modeling for telecommunication operators using data science methods
Tetiana Zatonatska, Yana Fareniuk, Viktor Shpyrko
| Year of publication: |
2023
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|---|---|
| Authors: | Zatonatska, Tetiana ; Fareniuk, Yana ; Shpyrko, Viktor |
| Published in: |
Marketing i menedžment innovacij : m&mi. - Sumy : [Verlag nicht ermittelbar], ISSN 2227-6718, ZDB-ID 2647971-0. - Vol. 14.2023, 2, p. 163-173
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| Subject: | churn | client | consumer | Data Science | forecasting | machine learning | marketing | modelling | outflow | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Data Mining | Data mining | Theorie | Theory |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.21272/mmi.2023.2-015 [DOI] hdl:11159/631414 [Handle] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014373841