A survey on machine learning methods for churn prediction
Crossref DOI link: https://doi.org/10.1007/s41060-022-00312-5
Published Online: 2022-03-01
Published Print: 2022-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Geiler, Louis
Affeldt, Séverine https://orcid.org/0000-0002-4107-0887
Nadif, Mohamed
Text and Data Mining valid from 2022-03-01
Version of Record valid from 2022-03-01
Article History
Received: 29 October 2021
Accepted: 12 January 2022
First Online: 1 March 2022
Declarations
:
: On behalf of all authors, the corresponding author states that there is no conflict of interest.