Document Type
Article
Source of Publication
SN Computer Science
Publication Date
4-1-2024
Abstract
This work surveys the research contributions of the last decade to the prediction of customer churn and adds a perspective toward what is yet to be reached. The main objective of this article is to report on (1) the methods and algorithms studied, the evaluation metrics adopted, and the results achieved, (2) the data used, and (3) the issues and limitations identified. Furthermore, the work highlights the gaps in the current literature and suggests a direction for future research.
DOI Link
ISSN
Publisher
Springer Science and Business Media LLC
Volume
5
Issue
4
Disciplines
Medicine and Health Sciences
Keywords
Causal inference, Churn prediction, Machine learning techniques, Telecom customer churn
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Barsotti, Annalisa; Gianini, Gabriele; Mio, Corrado; Lin, Jianyi; Babbar, Himanshi; Singh, Aman; Taher, Fatma; and Damiani, Ernesto, "A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey" (2024). All Works. 6469.
https://zuscholars.zu.ac.ae/works/6469
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Hybrid: This publication is openly available in a subscription-based journal/series