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What is Credit Card Fraud Detection with LSTM about?

This thesis examines using machine learning techniques like LSTM recurrent neural networks to detect credit card fraud. It aims to address limitations of traditional feedforward neural networks, which are unable to model temporal patterns in transaction data. The document outlines the problem of credit card fraud and reviews literature on fraud detection. It then provides background on neural networks and support vector machines as well as the LSTM architecture, which can model time series data by addressin

Author

sahki h

Language

EN