Knowledge Graph Construction for Payment Data Risk Control-Reference-Cited by-同舟云学术

Knowledge Graph Construction for Payment Data Risk Control

Published:2020 Issue: Volume: Page:1901-1907
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Wang Zhanquan,Guo Mengyuan,Li Zhen,Tang Minwei,Yu Jiechao

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5959-4_231

Reference10 articles.

1. Rambola, R., P. Varshney, and P. Vishwakarma. 2018. Data mining techniques for fraud detection in banking sector. In 2018 4th International Conference on Computing Communication and Automation (ICCCA), Greater Noida, India, 1–5.

2. Sun, W., et al. 2019. Semi-supervised anti-fraud models for cash pre-loan in internet consumer finance. In 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS), Taipei, Taiwan, 635–640.

3. Qiu, L., and H. Zhang. 2017. Review of development and construction of Uyghur knowledge graph. In 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), Guangzhou, 894–897.

4. Fu, X., X. Ren, O.J. Mengshoel, and X. Wu. 2018. Stochastic optimization for market return prediction using financial knowledge graph. In 2018 IEEE International Conference on Big Knowledge (ICBK), Singapore, 25–32.

5. White, H.D., and B.C. Griffith. 1981. Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science 3: 163–171.

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