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Fraud, Anomaly Detection, and the Interplay of Supervised and Unsupervised Learning

 

Mike Thurber, Lead Data Scientist and Fraud specialist at Elder Research, presented Elder Research's fraud detection methodology at Predictive Analytics World for Government last year. Consider the scenario of detecting fraudulent insurance claims, such as the audacious "accidental" death scheme in the 1944 noir film Double Indemnity.



This post first appeared on Elder Research Data Science & Machine Learning Blog, please read the originial post: here

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Fraud, Anomaly Detection, and the Interplay of Supervised and Unsupervised Learning

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