"Exploiting time-varying RFM measures for customer churn prediction with ..."

C. Gary Mena et al. (2024)

> Home

Details and statistics

DOI: 10.1007/S10479-023-05259-9

access: closed

type: Journal Article

metadata version: 2024-08-24

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/anor/MenaCBCL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/anor/MenaCBCL24
C. Gary Mena, Kristof Coussement, Koen W. De Bock, Arno De Caigny, Stefan Lessmann:
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks. Ann. Oper. Res. 339(1-2): 765-787 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.