This presentation shows how to deal with the problem of fraud detection with
1. Classic machine learning techniques. All supervised machine learning algorithms for classification will do, e.g. Random Forest, Logistic Regression, etc.
2. Techniques from the outlier detection or the anomaly detection approach, e.g. autoencoder and isolation forest
First presented by Maarit Widmann (KNIME) at "Data Talks: Handling Customer Data" Meetup in Berlin in January 2020.