A voting ensemble machine learning based credit card fraud detection using highly imbalance data
Crossref DOI link: https://doi.org/10.1007/s11042-023-17766-9
Published Online: 2023-12-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Chhabra, Raunak
Goswami, Shailza
Ranjan, Ranjeet Kumar http://orcid.org/0000-0002-8796-4579
Text and Data Mining valid from 2023-12-07
Version of Record valid from 2023-12-07
Article History
Received: 15 May 2023
Revised: 3 October 2023
Accepted: 28 November 2023
First Online: 7 December 2023
Declarations
:
: The authors declare that they have no conflict of interests/competing interests.