Intelligent Anomaly Detection in Insurance Claims Processing: A Supervised Learning Approach to Fraud Classification
Keywords:
intelligent anomaly detection, insurance claims processing, supervised learning approach to fraud classification, machine learningAbstract
The insurance industry is inevitably required to compensate for fraud cases, which have led to significant financial losses. Some of the typical examples of fraudulent activities are exaggerating the value of a claim, intentionally damaging the assets, re-filing the claim by hiding some information, or not revealing the existence of other insurance carriers.Downloads
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