Fraud Detection, Machine Learning, User Behavior, Predictive Analytics, Feature Engineering.
data and use it. First of all, it is necessary to group all the transactions at the user level and summarize them to extract statistics (e.g. mean and mode ) that will give a representation of some habits. This information is interpolated with the incoming transaction and the result will be