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Anomaly detection is the practice of finding patterns or outliers that deviate from what you expect to see in a dataset. MIDAS is a new approach to anomaly detection that outperforms state-of-the-art approaches both in speed and accuracy. It detects microcluster anomalies or sudden groups of suspiciously similar edges in graphs. Technology can help social networks like Twitter and Facebook detect fake profiles used for spam and phishing. It can even be used to help investigators identify online sexual predators.