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.
Industry Standard Process for Fraud/Outlier/Anomaly Detection
anomaly detection