RePEcML & AI Methods
XGBoost Framework for Fraud Detection in Mobile Payments
A proposed XGBoost-based framework for detecting fraud in mobile transactions was found to be most effective when combined with multiple unsupervised outlier detection algorithms.
Featured in No. 20 on 12 Oct 2023 · on release day
- Released
- 12 Oct 2023
- First featured
- No. 20 · 12 Oct 2023
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 17
- Identifier
- RePEc:spr:infosf:v:25:y:2023:i:5:d:10.1007_s10796-022-10346-6
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).