"A Genetic Programming Approach for Bankruptcy Prediction Using a Highly ..."

Eva Alfaro-Cid, Ken Sharman, Anna Esparcia-Alcázar (2007)

> Home

Details and statistics

DOI: 10.1007/978-3-540-71805-5_19

access: closed

type: Conference or Workshop Paper

metadata version: 2017-05-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/evoW/Alfaro-CidSE07
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/evoW/Alfaro-CidSE07
Eva Alfaro-Cid, Ken Sharman, Anna Esparcia-Alcázar:
A Genetic Programming Approach for Bankruptcy Prediction Using a Highly Unbalanced Database. EvoWorkshops 2007: 169-178

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.