Fraud and Anomaly Detection Made Simple

Here is a quick and simple application for fraud and anomaly detection. To replicate this on your own computer, download and install the Oracle Database 11g Release 1 or 2.

See www.oracle.com/technology/products/bi/odm/odm_education.html for more information.

This small application uses the Automatic Data Preparation (ADP) feature that we added in Oracle Data Mining 11g. The CLAIMS data table (.csv) can be downloaded from

www.oracle.com/technology/products/bi/odm/demos/claims.zip

First, we instantiate the ODM settings table to override the defaults. The default value for Classification data mining function is to use our Naive Bayes algorithm, but since this is a different problem, looking for anomalous records amongst a larger data population, we want to change that to SUPPORT_VECTOR_MACHINES. Also, as the 1-Class SVM does not rely on a Target field, we have to change that parameter to "null".

Here is detailed Documentation on ODM's anomaly detection.

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