I have transaction details for credit data (bank transfers, peer to peer transfers, etc). Currently, I have one year's worth of data which I cannot classify properly. I'm looking for inputs and suggestions about these two questions: 1. How do I detect anomalies in the last hour with previous credit transaction data that I have? 2. How can I detect anomalies in real-time for the current transaction? 
Anomaly detection for transaction data
machine learning;time series;anomaly detection