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Empirical Analysis Part 1 Methodology and Data: Empirical Example of Predicting the Demand for Life Insurance by Using the Dynamic Systemic Framework

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The Demand for Life Insurance
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Abstract

Herein, an empirical example of this new research will be shown. Two machine learning techniques are used for this example during unsupervised learning with clustering and supervised learning with artificial neural networks (ANNs). A basic example has been produced and confirmed using a reliable dataset from Bureau of Labor Statistics. In part 1, the research methodology and data are described.

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Correspondence to Wookjae Heo .

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Heo, W. (2020). Empirical Analysis Part 1 Methodology and Data: Empirical Example of Predicting the Demand for Life Insurance by Using the Dynamic Systemic Framework. In: The Demand for Life Insurance. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-030-36903-3_5

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  • DOI: https://doi.org/10.1007/978-3-030-36903-3_5

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  • Publisher Name: Palgrave Pivot, Cham

  • Print ISBN: 978-3-030-36902-6

  • Online ISBN: 978-3-030-36903-3

  • eBook Packages: Economics and FinanceEconomics and Finance (R0)

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