Use Case—Fraud Detection Using Machine Learning Techniques

Philipp Enzinger () and Sangmeng Li ()
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Philipp Enzinger: ifb SE
Sangmeng Li: ifb SE

A chapter in The Digital Journey of Banking and Insurance, Volume II, 2021, pp 33-49 from Springer

Abstract: Abstract The article describes the challenges and obstacles in fraud prevention in insurance claims management. The common algorithms like autoencoder and more complex anomaly detection algorithms are discussed.

Keywords: Fraud Detection; Machine Learning; Pattern Recognition; Process Optimization (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-78829-2_3

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DOI: 10.1007/978-3-030-78829-2_3

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