Credit Card Fraud Detection System Using Deep Learning Techniques Detection of Fraudulent Transactions Using AI-Based Models.DE
-
- Englisch ausgewählt
Fr. 89.90
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
17.04.2026
Verlag
LAP LAMBERT Academic PublishingSeitenzahl
104
Maße (L/B/H)
22/15/0.7 cm
Gewicht
173 g
Sprache
Englisch
ISBN
978-620-9-89225-7
Credit card fraud detection remains a significant challenge due to the growing complexity of fraudulent behaviour and the severe class imbalance in transaction data. This study presents a hybrid deep learning approach that combines three advanced models-an Artificial Neural Network (ANN) enhanced with Batch Normalization and Dropout, along with VGG16 and VGG19 architectures-to enhance detection accuracy and reliability. The system begins with extensive data pre-processing, including Standard Scaling for normalization, Synthetic Minority Over-sampling Technique (SMOTE) to balance class distribution, and Principal Component Analysis (PCA) for dimensionality reduction.
Kundinnen und Kunden meinen
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kund*innen durch Ihre Meinung