カード詐欺の探知における機械学習の進歩<br>Machine Learning Advances in Payment Card Fraud Detection

カード詐欺の探知における機械学習の進歩
Machine Learning Advances in Payment Card Fraud Detection

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  • 製本 Paperback:紙装版/ペーパーバック版／ページ数 350 p.
  • 言語 ENG
  • 商品コード 9780128134153
  • DDC分類 332

Full Description


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 analysing data, and ways to draw insights, the book argues for a new direction to be taken in developing state-of the-art payment fraud detection techniques. It uses an extensive analysis and description of an exemplar fraud detection algorithm, SOAR, to illustrate how a detailed understanding of the payment fraud domain can be used to motivate further advances in fraud detection techniques. The book concludes with a discussion of opportunities for future research, such as developing holistic approaches for countering fraud.

Contents

1. Introduction2. History of payment cards3. Growth of payment card fraud4. The fraud detection problem5. Understanding the fraud domain6. Cost of payment fraud7. History of payment card fraud detection methods8. The pivotal event and disruptive technologies9. The Sparse Oracle-based Adaptive Rule extraction algorithm10. Real-world data empirical evaluation11. Discussion and conclusion