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Fraud Networks
Data Skeptic
Social Networks in Fraud Detection
This chapter explores the application of social network analysis for detecting fraud in car insurance claims by leveraging both tabular data and network relationships among involved parties. It highlights the Byrank algorithm's role in identifying connections to known fraudulent activities, examining the dynamics of fraud networks, particularly in urban areas where collaboration among fraudsters is prevalent.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode