| Autor: |
Merve Cimen, Yunus Guney, Tahsin Eti, Serkan Turkeli, Mehmet Akyuz, Mustafa Alpkan Cicek |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 15th Iberian Conference on Information Systems and Technologies (CISTI). |
| DOI: |
10.23919/cisti49556.2020.9141105 |
| Popis: |
In the insurance industry, fraud can be performed because of salesperson’s bonuses and commissions. This problem reduces the reputation of the insurance industry. With the decrease of reputation, the trust of the customer to the industry decreases and thus, the acquisition of new customers becomes difficult. This study aims to estimate the probability of salesperson to fraud with historical data by using machine learning methods. The industry’s reputation is maintained if fraud can be detected in advance. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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