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

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Machine Learning, Optimization, and Data Science (LOD 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12565))

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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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Acknowledgement

This paper is financed by National Funds of the FCT – Portuguese Foundation for Science and Technology within the project No. UIDB/03182/2020.

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Authors and Affiliations

  1. NIPE, University of Minho, Campus of Gualtar, Braga, 4710-057, Portugal

    Stefan Silva & José Crispim

  2. Brazilian Navy, DGOM, Rio de Janeiro, 20091-000, Brazil

    Stefan Silva

Authors
  1. Stefan Silva
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  2. José Crispim
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Corresponding author

Correspondence to Stefan Silva .

Editor information

Editors and Affiliations

  1. University of Catania, Catania, Italy

    Giuseppe Nicosia

  2. University of Reading, Reading, UK

    Varun Ojha

  3. University of Oxford, Oxford, UK

    Emanuele La Malfa

  4. University of Cambridge, Cambridge, UK

    Giorgio Jansen

  5. Almawave, Rome, Italy

    Vincenzo Sciacca

  6. University of Florida, Gainesville, FL, USA

    Panos Pardalos

  7. University of Catania, Catania, Italy

    Giovanni Giuffrida

  8. Harvard University, Cambridge, MA, USA

    Renato Umeton

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Silva, S., Crispim, J. (2020). An Application of Machine Learning to Study Utilities Expenses in the Brazilian Navy. In: Nicosia, G., et al. Machine Learning, Optimization, and Data Science. LOD 2020. Lecture Notes in Computer Science(), vol 12565. Springer, Cham. https://doi.org/10.1007/978-3-030-64583-0_7

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  • DOI: https://doi.org/10.1007/978-3-030-64583-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64582-3

  • Online ISBN: 978-3-030-64583-0

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