SDDM: an interpretable statistical concept drift detection method for data streams
Crossref DOI link: https://doi.org/10.1007/s10844-020-00634-5
Published Online: 2021-02-05
Published Print: 2021-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Micevska, Simona
Awad, Ahmed http://orcid.org/0000-0003-1879-1026
Sakr, Sherif
Funding for this research was provided by:
Estonian Research Competency Council (MOBTT75)
Text and Data Mining valid from 2021-02-05
Version of Record valid from 2021-02-05
Article History
Received: 6 October 2020
Revised: 21 December 2020
Accepted: 22 December 2020
First Online: 5 February 2021