Practical Fraud Prevention: Fraud and AML Analytics for Fintech and eCommerce, Using SQL and Python
Saporta, Gilit
Practical Fraud Prevention: Fraud and AML Analytics for Fintech and eCommerce, Using SQL and Python - Mumbai Shroff Publishers & Distributors Pvt. Ltd. 362 - 2022
Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their fraud-fighting experience to provide best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.
Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in this ever-changing fraud landscape.
9789355421975
Python (Computer program language)
SQL (Computer program language)
Electronic commerce--Security measures
Computer security
005.133 (PYT) SAP
Practical Fraud Prevention: Fraud and AML Analytics for Fintech and eCommerce, Using SQL and Python - Mumbai Shroff Publishers & Distributors Pvt. Ltd. 362 - 2022
Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their fraud-fighting experience to provide best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.
Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in this ever-changing fraud landscape.
9789355421975
Python (Computer program language)
SQL (Computer program language)
Electronic commerce--Security measures
Computer security
005.133 (PYT) SAP
