Neural Network-Based Deep Learning for Online Payment by Yu Xie(.PDF)+
File Size: 27.2 MB
Neural Network-Based Deep Learning for Online Payment Fraud Detection by Yu Xie, Yue Tian, Jiamin Yao, Guanjun Liu
Requirements: .ePUB, .PDF reader, 27.2 MB | True PDF, True EPUB
Overview: This book explores Deep Learning as a next-generation approach to online payment fraud detection in the face of increasingly complex and adaptive threats. Traditional rule-based or shallow learning methods are no longer sufficient. Through ten focused chapters, this book tackles challenges such as behavioral modeling, spatiotemporal anomaly detection, class imbalance, behavior drift, and graph-based inference. It applies advanced neural architectures including LSTM, GRU, GANs, GNNs, and spatiotemporal transformers. With a problem-driven structure, each chapter links real-world fraud problems to tailored neural solutions, validated on large-scale transaction data. This book blends theory, practical design, and empirical rigor, offering researchers and practitioners a foundation for scalable, adaptive, and reliable fraud detection systems.
Genre: Non-Fiction > Tech & Devices
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