Machine Learning Advances in Payment Card Fraud Detection
Author | : Nick Ryman-Tubb |
Publisher | : Academic Press |
Total Pages | : 350 |
Release | : 2019-06-15 |
ISBN-10 | : 0128134151 |
ISBN-13 | : 9780128134153 |
Rating | : 4/5 (51 Downloads) |
Download or read book Machine Learning Advances in Payment Card Fraud Detection written by Nick Ryman-Tubb and published by Academic Press. This book was released on 2019-06-15 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Advances in Payment Card Fraud Detection provides a thorough review of the state-of-the-art in fraud detection research that is ideal for graduate level readers and professionals. Through a comprehensive examination of fraud analytics that covers data collection, steps for cleaning and processing data, tools for analyzing data, and ways to draw insights, the book introduces state-of the-art payment fraud detection techniques. Other topics covered include machine learning techniques for the detection of fraud, including SOAR, and opportunities for future research, such as developing holistic approaches for countering fraud. Covers analytical approaches and machine learning for fraud detection Explores SOAR with full R-code and example obfuscated datasets in a freely-accessible companion website Introduces state-of the-art payment fraud detection techniques