A transaction against a consumer s normal buying behavior can be used to do which

Fraudulent credit card transactions can be detected by comparing a transaction to a consumer's usual buying habits. As a result, option B is the proper response.

The difficulty of discovering patterns in data that deviate considerably from expected behavior is addressed by anomaly detection.

The ability to detect such irregularities is critical in areas like credit card and bank transaction fraud, insurance claims, and money laundering.

Suspicious-looking patterns are learned by neural networks, which then use those patterns to detect them further.

For more information about buying behavior, refer below

Detect fraudulent credit card transactions

Explanation:

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