AI and Machine Learning for E-Commerce Risk Management (Transactions on Computer Systems and Networks)

Liu, Siyu

Springer Verlag, Singapore（2026/03発売）

• 製本 Hardcover:ハードカバー版／ページ数 275 p.
• 言語 ENG
• 商品コード 9789819561834

Full Description

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.

Contents

The E-Commerce Risk Landscape.- Data Foundations for E-Commerce.- Tree-based Methods.- Deep Learning Models.- Unsupervised & Anomaly Detection Methods.- Buyer Journey Models.- Buyer-Seller Collusion Models.