Industry Standard Process for Fraud/Outlier/Anomaly Detection I want to write my thesis about Fraud Detection in ERP Databases. I'm looking for a Industry Standard Processs such as CRISP-DM for Data Mining Projects, in order to justify my approach in solving the issue of finding outliers/anomalies in the data set.
Is there any established Standard Process which would be more suitable for such an project?

Thanks.
You should refer this survey paper on Anomaly Detection (from University of Minnesota). 

Please let me know if this helps you.