Research on Prediction Method of Auto Insurance Claim Amount Based on Graph Deep Learning

Author:

Lu Jianguang1ORCID,Liu Pengfei2ORCID,Xing Bin3ORCID

Affiliation:

1. Chongqing Industrial Big Data Innovation Center Co. Ltd., China and State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, China

2. Key Laboratory of Advanced Manufacturing Technology of the Ministry of Education, Guizhou University, China

3. Chongqing Industrial Big Data Innovation Center Co. Ltd., China

Publisher

ACM

Reference24 articles.

1. Li, P.; Shen, B.; Dong, W., An anti-fraud system for car insurance claim based on visual evidence. arXiv preprint arXiv:1804.11207 2018.

2. Detecting insurance claims fraud using machine learning techniques

3. Use of optimized Fuzzy C-Means clustering and supervised classifiers for automobile insurance fraud detection

4. Rustam, Z.; Ariantari, N. P. A. A. Support Vector Machines for classifying policyholders satisfactorily in automobile insurance, Journal of Physics Conference Series 2018, 1028, (1), 012005.

5. Lin, W.; Wu, Z.; Lin, L.; Wen, A.; Li, J., An ensemble random forest algorithm for insurance big data analysis. IEEE Access 2017, 5, 16568-16575.

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