Traditional versus AI-Based Fraud Detection: Cost Efficiency in the Field of Automobile Insurance.

Author information:

Botond Benedek: Babeş-Bolyai University, Cluj-Napoca, Romania, Assistant Professor. E-mail: botond.benedek@econ.ubbcluj.ro

Bálint Zsolt Nagy: Babeş-Bolyai University, Cluj-Napoca, Romania, Associate Professor. E-mail: balint.nagy@econ.ubbcluj.ro

Cite as (APA):

Benedek, B., & Nagy, B. Z. (2023). Traditional versus AI-Based Fraud Detection: Cost Efficiency in the Field of Automobile Insurance.. Financial and Economic Review, 22(2), 77–98. https://doi.org/10.33893/FER.22.2.77

Column:

Study

Journal of Economic Literature (JEL) codes:

G22, C14, C45

Keywords:

automobile insurance, insurance fraud, fraud detection, cost-sensitive decision-making, data mining

References:

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