Micro-batch processing pattern, as it processes data in small batches, providing a balance between latency and throughput.

Continuous processing pattern, as it allows for real-time data processing with minimal latency, suitable for immediate fraud detection.

Event-time processing pattern, as it ensures accurate processing of data based on when events actually occurred, crucial for handling late-arriving transaction data.

Stateful processing pattern, as it maintains the state of transactions over time, essential for tracking and analyzing fraudulent activities across multiple transactions.