Applying machine learning techniques to predict and explain subscriber churn of an online drug information platform
Crossref DOI link: https://doi.org/10.1007/s00521-022-07603-9
Published Online: 2022-07-19
Published Print: 2022-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Theodoridis, Georgios
Tsadiras, Athanasios
Text and Data Mining valid from 2022-07-19
Version of Record valid from 2022-07-19
Article History
Received: 29 November 2021
Accepted: 1 July 2022
First Online: 19 July 2022
Declarations
:
: The authors declare that they have no conflict of interest.