Telecommunication customer churn prediction using machine learning methods

Monika Zdanaviciute, Ruta Juozaitiene, Tomas Krilavicius. Telecommunication customer churn prediction using machine learning methods. In Tomas Krilavicius, Audrius Lopata, Ilona Veitaite, Marcin Wozniak, Christian Napoli, Danguole Kalinauskaite, editors, Proceedings of the 27th International Conference on Information Society and University Studies (IVUS 2022), Kaunas, Lithuania, May 12, 2022. Volume 3611 of CEUR Workshop Proceedings, pages 92-98, CEUR-WS.org, 2022. [doi]

@inproceedings{ZdanaviciuteJK22,
  title = {Telecommunication customer churn prediction using machine learning methods},
  author = {Monika Zdanaviciute and Ruta Juozaitiene and Tomas Krilavicius},
  year = {2022},
  url = {https://ceur-ws.org/Vol-3611/paper15.pdf},
  researchr = {https://researchr.org/publication/ZdanaviciuteJK22},
  cites = {0},
  citedby = {0},
  pages = {92-98},
  booktitle = {Proceedings of the 27th International Conference on Information Society and University Studies (IVUS 2022), Kaunas, Lithuania, May 12, 2022},
  editor = {Tomas Krilavicius and Audrius Lopata and Ilona Veitaite and Marcin Wozniak and Christian Napoli and Danguole Kalinauskaite},
  volume = {3611},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}