Applications of Clustering with Mixed Type Data in Life Insurance

Applications of Clustering with Mixed Type Data in Life Insurance

Death benefits are generally the largest cash flow items that affect the financial statements of life insurers; some may still not have a systematic process to track and monitor death claims. In this article, we explore data clustering to examine and understand how actual death claims differ from wh...

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Bibliographic Details
Main Authors: Shuang Yin, Guojun Gan, Emiliano A. Valdez, Jeyaraj Vadiveloo
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Risks
Subjects:
k-prototype clustering
geospatial attributes
gap statistics
tracking and monitoring death claims
Online Access:https://www.mdpi.com/2227-9091/9/3/47

Internet

https://www.mdpi.com/2227-9091/9/3/47

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