Machine Learning Advances in Payment Card Fraud Detection

This comprehensive examination of fraud analytics covers data collection, steps for cleaning and processing those data, tools for analyzing data, and ways to draw insights. Early chapters introduce payment card fraud and state-of the-art payment fraud detection. Later chapters introduce machine learning techniques for detection of fraud, including SOAR, and discuss opportunities for future research, such as developing holistic approaches for countering fraud. Targeting graduate-level readers and professionals, Machine Learning Advances in Payment Card Fraud Detection provides a thorough review of the state-of-the-art in fraud detection research. Covers analytical approaches and machine learning for fraud detectionExplores SOAR with full R-code and example obfuscated datasets in a freely-accessible companion websiteDoes not explicitly cover cyber fraud such as phishing and malware INDICE: 1. History of Payment Cards, Payment Fraud Prevention and Detection Technologies 2. Analytical Approaches to Fraud Detection and Understanding 3. Disruptive Payment Technologies and the Pivotal Event 4. Machine Learning for Fraud Detection 5. SOAR: A Tool to Transparently Explain Patterns of Fraud 6. The Future

• ISBN: 978-0-12-813415-3
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 350
• Fecha Publicación: 01/05/2018
• Nº Volúmenes: 1
• Idioma: Inglés