Optimizing the number of branches in a decision forest using association rule metrics
Crossref DOI link: https://doi.org/10.1007/s10115-024-02069-8
Published Online: 2024-02-27
Published Print: 2024-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Manzali, Youness
Elfar, Mohamed
Text and Data Mining valid from 2024-02-27
Version of Record valid from 2024-02-27
Article History
Received: 26 January 2023
Revised: 3 January 2024
Accepted: 22 January 2024
First Online: 27 February 2024
Declarations
:
: The authors declare no competing interests.