Application of Data Mining Techniques in Automobile Insurance Fraud Detection-Reference-Cited by-同舟云学术

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Application of Data Mining Techniques in Automobile Insurance Fraud Detection

Published:2023-07-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 6th International Conference on Mathematics and Statistics
language:
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Author:

Na Bangchang Kannat¹^ORCID,Wongsai Sangdao²^ORCID,Simmachan Teerawat¹^ORCID

Affiliation:

1. Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Thailand

2. Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Thailand and Thammasat University Research Unit in Data Learning, Thammasat University, Thailand

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613347.3613355

Reference25 articles.

1. Feature normalization and likelihood-based similarity measures for image retrieval

2. A Model for the Detection of Insurance Fraud. The Geneva Papers on Risk and Insurance;Belhadji El Bachir;Issues and Practice,2000

3. IDENTIFY OF FRAUDULENT FINANCIAL OPERATIONS USING THE MACHINE LEARNING ALGORITHM

4. Bayes’ theorem and naive Bayes classifier;Berrar Daniel;Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics,2018

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