Fraud detection encompasses the methods and techniques used to identify fraudulent activities, such as credit card fraud, insurance fraud, or identity theft. It commonly involves analyzing patterns in data to detect anomalies that may indicate fraudulent behavior. Machine learning algorithms are frequently employed to improve the accuracy and efficiency of fraud detection systems.
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