Fraud and Anomaly Detection
Maris Sekar · Apress eBooks · 2022
In this chapter, an intelligent fraud and anomaly detection system using statistical, supervised, and unsupervised machine learning techniques is presented. The following sections will show how a non-traditional approach can be leveraged by internal auditors to gain additional insight into the data. The chapter is organized like a recipe – goal of the recipe, ingredients, instructions, and variation and serving. The accompanying code is available at the GitHub repository specified in Chapter 20.