Data mining techniques can be used to surface anomalous patterns that are found in automated botnet traffic, device farms, emulators and other perfidious fraud tactics. Naturally, any machine learning algorithm works best when monitored, trained, calibrated, and supervised by data scientists with deep fraud expertise.