"Customer event history for churn prediction: How long is long enough?"

Michel Ballings, Dirk Van den Poel (2012)

> Home

Details and statistics

DOI: 10.1016/J.ESWA.2012.07.006

access: closed

type: Journal Article

metadata version: 2017-06-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/eswa/BallingsP12
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eswa/BallingsP12
Michel Ballings, Dirk Van den Poel:
Customer event history for churn prediction: How long is long enough? Expert Syst. Appl. 39(18): 13517-13522 (2012)

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.