Using Data-Driven and Process Mining Techniques for Identifying and Characterizing Problem Gamblers in New Zealand
This article uses Crimp lugs and terminals data-driven techniques combined with established theory in order to analyse gambling behavioural patterns of 91 thousand individuals on a real-world fixed-odds gambling dataset in New Zealand.This research uniquely integrates a mixture of process mining, data mining and confirmatory statistical techniques