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2020 | OriginalPaper | Chapter

An Application of Machine Learning to Study Utilities Expenses in the Brazilian Navy

Authors : Stefan Silva, José Crispim

Published in: Machine Learning, Optimization, and Data Science

Publisher: Springer International Publishing

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Abstract

The extensive Brazilian territory endows its Navy with more than 350 facilities with several distinct activities that transcend military operations. Understanding the variation of all the essential and common costs of those facilities proved to be a challenging and relevant task. This paper presents a machine learning approach to support the decision-making process based on data that represents several facilities attributes, where models were trained, and those with the best performance were further analyzed. Besides data limitations, our results show that predictions and explanations derived from the models can be applied to support decision-making within the organization and contribute with insights to improve management over its resources.

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Title: An Application of Machine Learning to Study Utilities Expenses in the Brazilian Navy
Authors: Stefan Silva
José Crispim
Publisher: Springer International Publishing
Book: Machine Learning, Optimization, and Data Science
Print ISBN: 978-3-030-64582-3

Electronic ISBN: 978-3-030-64583-0

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-64583-0_7

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