A Heterogeneous Ensemble Learning Model Based on Data Distribution for Credit Card Fraud Detection

Credit card fraud detection (CCFD) is important for protecting the cardholder’s property and the reputation of banks. Class imbalance in credit card transaction data is a primary factor affecting the classification performance of current detection models. However, prior approaches are aimed at impro...

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Veröffentlicht in:	Wireless communications and mobile computing 2021, Vol.2021 (1)
Hauptverfasser:	Xie, Yalong, Li, Aiping, Gao, Liqun, Liu, Ziniu
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Classification Credit card fraud Datasets Deep learning Engineering Ensemble learning Machine learning Methods Neural networks Performance prediction Prevention
Online-Zugang:	Volltext
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