The value of cross-data set analysis for automobile insurance fraud detection
Meryem Yankol-Schalck
| Year of publication: |
2022
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|---|---|
| Authors: | Yankol-Schalck, Meryem |
| Published in: |
Research in international business and finance. - Amsterdam [u.a.] : Elsevier, ISSN 0275-5319, ZDB-ID 424514-3. - Vol. 63.2022, p. 1-17
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| Subject: | Automobile insurance | Boosting | Cross-data set | Fraud detection | Natural language processing | Neutral network | Kfz-Versicherung | Betrug | Fraud | Versicherungsbetrug | Insurance fraud | Theorie | Theory | Versicherung | Insurance |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ribaf.2022.101769 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014248933