A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training
Crossref DOI link: https://doi.org/10.1186/s40537-019-0259-3
Published Online: 2019-10-31
Published Print: 2019-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yadav, Sumedh https://orcid.org/0000-0001-5630-356X
Bode, Mathis
Text and Data Mining valid from 2019-10-31
Version of Record valid from 2019-10-31
Article History
Received: 5 June 2019
Accepted: 12 October 2019
First Online: 31 October 2019
Competing interests
: The authors declare that they have no competing interests.