anomaly analysis

  1. Professor

    Machine learning in fraud detection: from rule-based to model-based anomaly analysis

    Abstract: The evolution of security systems: from simple IF-THEN rules ("if the purchase is > $1,000, then request confirmation") to complex ensemble ML models that analyze thousands of features and learn from new fraudulent schemes in real time. Introduction: From a sentry with instructions to...
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