Deep Learning: Practical Neural Networks with Java

Fraud detection of insurance claims

First, we'll take a look at suspicious behavior detection, where the goal is to learn known patterns of frauds, which correspond to modeling known-knowns.

Dataset

We'll work with a dataset describing insurance transactions publicly available at Oracle Database Online Documentation (2015), as follows:

http://docs.oracle.com/cd/B28359_01/datamine.111/b28129/anomalies.htm

The dataset describes insurance vehicle incident claims for an undisclosed insurance company. It contains 15,430 claims; each claim comprises 33 attributes describing the following components:

• Customer demographic details (Age, Sex, MartialStatus, and so on)
• Purchased policy (PolicyType, VehicleCategory, number of supplements, agent type, and so on) ...