CHAPTER
18
Anomaly Detection
Anomaly detection is a useful technique to apply to your data to discover whether your data includes any anomalous case records. These anomalous case records could represent fraudulent activity or activity that warrants further investigation. In Chapter 11, examples were given showing you how to build and apply an anomaly detection model to your data using the Oracle Data Miner tool. In this chapter, you learn how you can perform the same steps using the functions available in PL/SQL and SQL. The
CLAIMS data set used in this chapter is the same as was used in Chapter 11.Examining the Existing Anomaly Detection Model(s) ...
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