Auto Insurance Knowledge Graph Construction and Its Application to Fraud Detection-Reference-Cited by-同舟云学术

Auto Insurance Knowledge Graph Construction and Its Application to Fraud Detection

Published:2021-12-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th International Joint Conference on Knowledge Graphs
language:
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Author:

Zhang Long¹,Wu Tianxing²,Chen Xiuqi¹,Lu Bingjie¹,Na Chongning¹,Qi Guilin²

Affiliation:

1. Zhejiang Lab, China

2. Southeast University, China

Funder

National Natural Science Foundation of China

the Project for the Doctor of Entrepreneurship and Innovation in Jiangsu Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3502223.3502231

Reference30 articles.

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2. A Model for the Detection of Insurance Fraud

3. Detecting Auto Insurance Fraud by Data Mining Techniques;Bhowmik R.;Journal of Emerging Trends in Computing & Information ences,2011

4. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-Relational Data. In NIPS. 2787–2795. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-Relational Data. In NIPS. 2787–2795.

5. XGBoost

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