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Könyv AI and Machine Learning for E-Commerce Risk Management Siyu Liu

AI and Machine Learning for E-Commerce Risk Management

Szerző: Siyu Liu
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer, Berlin
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
26 512 Ft
This book offers a comprehensive guide to leveraging machine learning and predictive analytics for m...

Információk a könyvről

Szerző
Siyu Liu
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2026
oldal
275
EAN
9789819561834
Enbook ID
50047947
Kiadó
Springer, Berlin
Súly
596
Méretek
155 x 235

Teljes leírás

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.

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