Anomaly detection on a small data set

Hello guys,

I am trying to analyse anomal transactions on a small data set. These data set are fiancial transactions and these are only done quite irregularly. I have around 200 transactions in my data set.

I know that the usual anomaly detection methods work quite well with large dataset. However, I was wondering if there is any research about anomaly detection in small datasets and what the problems are if anomaly detection is done on small data sets?

I really appreciate your answer!

Best regards!