Fraud detection is becoming increasingly more complex. Customers are demanding a frictionless consumer experience. Luckily, SAS’ advanced machine learning models can better prevent fraud and protect customers by analyzing behaviors and detecting suspicious patterns in real-time.
Machine learning models for payment fraud was published on SAS Users.
In many programming languages, there is a function named eval() that can be used to evaluate an expression and return the result at run time. For example, in Python, the eval() function parses the expression passed to it and runs a Python expression or code within the program. Even Python […]
How to evaluate SAS expression in DATA Step dynamically was published on SAS Users.