AI and Machine Learning for E-Commerce Risk Management
by
Simon Liu
Book Details
Format
Hardback or Cased Book
Book Series
Transactions on Computer Systems and Networks
ISBN-10
9819561833
ISBN-13
9789819561834
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 8th, 2026
Print length
295 Pages
Weight
606 grams
Dimensions
24.40 x 16.50 x 2.20 cms
Ksh 10,800.00
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This book presents a practical, end-to-end approach to risk management in modern e-commerce platforms using machine learning. It covers buyer abuse, seller governance, collusion networks, and payment and credit risk, showing how behavioural, transactional, and network data are translated into actionable risk signals.
This book presents a practical, end-to-end approach to risk management in modern e-commerce platforms using machine learning. It covers buyer abuse, seller governance, collusion networks, and payment and credit risk, showing how behavioural, transactional, and network data are translated into actionable risk signals. The book discusses a range of modelling techniques—including tree-based ensembles, sequence and transformer models, graph neural networks, and anomaly detection—focusing on their application under real-world constraints such as class imbalance, latency, adversarial drift, fairness, and regulatory requirements. Extending beyond model development, it addresses deployment, monitoring, governance, and operational assurance, making it relevant to industry practitioners and suitable for advanced courses in applied, industry-focused machine learning.
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