SABeDM: a sliding adaptive beta distribution model for concept drift detection in a dynamic environment
Crossref DOI link: https://doi.org/10.1007/s10115-023-02004-3
Published Online: 2023-11-20
Published Print: 2024-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Angbera, Ature
Chan, Huah Yong
Text and Data Mining valid from 2023-11-20
Version of Record valid from 2023-11-20
Article History
Received: 9 June 2023
Revised: 2 September 2023
Accepted: 4 October 2023
First Online: 20 November 2023
Declarations
:
: The authors declare no competing interests.