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?
   

I have transaction details for credit data (bank transfers, peer to peer transfers, etc). Currently, I have one year worth of data which I cannot properly classify.

I'm looking for input 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?

Say I have transaction details say for credit (bank transfers, peer to peer transfers, etc). I have one year worth of data. I cannot classify current data.

Looking for following inputs and suggestions:

1. How do I detect anomolies(vents in unexpected order) in last 1 hour with the previous credit transaction data I have?
   
2. How can I detect anamoly in realtime for current transaction?
   

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?