Fraud Detection

Edition 2021/2022

This course has two main objectives: 1) to provide an introduction to the main data mining/machine learning methodologies that can be useful for fraud detection and 2) to convey knowledge on programming and tools for this type of tasks using the R language.

This web site provides support material to the classes. Using the top menus you can find:

• Information about key aspects of the way the subject will work throughout the semester
• Supporting material used during the classes, namely:
  • The slides handouts
  • The code shown in the slides for easier replication in your R session
  • Data sets used during the classes
  • Any other necessary material
• Bibliography that may help you with your learning process
• Contact information