Factor identification for insurance pricing mechanism using data mining and multi criteria decision making-Reference-Cited by-同舟云学术

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Factor identification for insurance pricing mechanism using data mining and multi criteria decision making

Published:2021-11-02 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Mamoudan Mobina Mousapour,Forouzanfar Danial,Mohammadnazari Zahra^ORCID,Aghsami Amir^ORCID,Jolai Fariborz^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-021-03585-z.pdf

Reference44 articles.

1. Anom B (2020) Ethics of Big Data and artificial intelligence in medicine. Ethics Med Public Health 15:100568

2. Apergis N, Poufinas T (2020) The role of insurance growth in economic growth: Fresh evidence from a panel of OECD countries. N Am J Econ Finance 50:101217

3. Chae YM, Ho SH, Cho KW, Lee DH, Ji SH (2001) Data mining approach to policy analysis in a health insurance domain. Int J Med Inf 62(2):103–111. https://doi.org/10.1016/S1386-5056(01)00154-X

4. Devale A, Kulkarni R (2012) Applications of data mining techniques in life insurance. Int J Data Min Knowl Manag Process 2(4):31–40

5. dos Santos JRR, Dias CM, Filho AC (2021) Machine learning and national health data to improve evidence: Finding segmentation in individuals without private insurance. Health Policy Technol 10(1):79–86. https://doi.org/10.1016/j.hlpt.2020.11.002

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