How to create Credit Card Fraud Detection model so that it captures dependency in the observations

I want to create ML Model to identify if the Transaction is fraud or not. Each row represents one Transaction. I understand that this ML Model can be built. What the model will be missing is the behaviour when Multiple Transactions are done within short duration. How do I capture that behaviour? If 1st transaction for a card happens at 10 am and other transaction happens at 10.01 am then that Transaction is generally Fraud. But my model is missing that. Please help

source https://stackoverflow.com/questions/72310049/how-to-create-credit-card-fraud-detection-model-so-that-it-captures-dependency-i

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