Code: 50047947
This book offers a comprehensive guide to leveraging machine learning and predictive analytics for managing the full spectrum of risks inherent in modern e-commerce platforms from payment fraud and chargebacks to platform-specific ... more
English
70.29 €
RRP: 77.85 €
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Book synopsis
This book offers a comprehensive guide to leveraging machine learning and predictive analytics for managing the full spectrum of risks inherent in modern e-commerce platforms from payment fraud and chargebacks to platform-specific abuses like voucher manipulation, collusion rings, and promotional gaming. Grounded in real-world practice, it shows how to transform raw transaction logs, user clickstreams, and promotional datasets into actionable risk scores that power both real-time interdiction and strategic oversight. Readers discover a suite of methods ranging from gradient-boosted trees and deep sequence models to graph neural networks and unsupervised anomaly detectors each chosen for its ability to detect subtle, evolving patterns of misuse.
Book details
Book category Books in English Computing & information technology Computer science Artificial intelligence
70.29 €
English
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