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Identifying Key Fraud Indicators in the Automobile Insurance Industry Using SQL Server Analysis Services Cover

Identifying Key Fraud Indicators in the Automobile Insurance Industry Using SQL Server Analysis Services

Studia Universitatis Babes-Bolyai Oeconomica
Volume 64 (2019): Issue 2 (August 2019)
By:  and    
Open Access
|Sep 2019
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DOI: https://doi.org/10.2478/subboec-2019-0009 | Journal eISSN: 2065-9644
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Language: English
Page range: 53 - 71
Published on: Sep 9, 2019
Published by: Babeș-Bolyai University
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year
Keywords:
automobile insurance,
insurance fraud,
fraud indicators,
data mining
Related subjects:
Business and economics,
Political economics,
Public finance and fiscal theory,
Business management,
Management accounting, financial controlling, cost calculation, investment,
Marketing, sales, customer relations,
Business management, other

© 2019 Botond Benedek, Ede László, published by Babeș-Bolyai University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 64 (2019): Issue 2 (August 2019)
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