Open AccessEnsemble Learning with Supervised Machine Learning Models to Predict Credit Card Fraud Transactions
Author(s) -
Mohammed Rashad Baker,
Zuhair Norii Mahmood,
Ehab Hashim Shaker
Publication year - 2022
Publication title -
revue d intelligence artificielle
Language(s) - English
Resource type - Journals
eISSN - 1958-5748
pISSN - 0992-499X
DOI - 10.18280/ria.360401
Subject(s) - computer science , credit card fraud , confusion matrix , credit card , machine learning , ensemble learning , artificial intelligence , boosting (machine learning) , payment , confusion , gradient boosting , voting , majority rule , supervised learning , random forest , world wide web , artificial neural network , psychology , politics , political science , psychoanalysis , law
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