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A Scalable RF-XGBoost Framework for Financial Fraud Mitigation · Peerford

Article · Journal · 2022

A Scalable RF-XGBoost Framework for Financial Fraud Mitigation

Isaac Kofi Nti, Arjun Remadevi Somanathan

IEEE Transactions on Computational Social Systems

Closed access
World top 10%
International · 3 countries

Go to the publisher 10.1109/tcss.2022.3209827

Citations: 35from other works
Field-weighted impact: 2.981.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 2from 3 institutions

Authors

2 authors across 3 institutions in 3 countries

Isaac Kofi NtiFirst author
- University of Energy and Natural Resources (GH)
Arjun Remadevi SomanathanSenior author

Development goals

16Peace, justice and strong institutions

Countries on it

Ghana
India
United States

Also on it

University of Cincinnatieducation · US
Vellore Institute of Technology Universityeducation · IN

Fields

A work can sit in several, each with a score

Imbalanced Data Classification TechniquesTopic
Hydrological Forecasting Using AITopic
Stock Market Forecasting MethodsTopic