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Data Science Supporting Smart City Management: A Predictive Analysis Perspective

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Proceedings of the 4th Brazilian Technology Symposium (BTSym'18) (BTSym 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 140))

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Abstract

This paper aims at presenting an R&D view on how Data Science may be inter-related with smart city management, especially in terms of supporting predictive analyses. Trends on this fast-growing scenario are pointed out as well as some experiences and applications that the authors’ institution has built up or may come to develop.

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Author information

Authors and Affiliations

  1. FITec—Technological Innovations, 79, Aguaçu St, Campinas, SP, 13098-321, Brazil

    Giovanni Moura de Holanda, Cristina Y. K. Obata Adorni & Jorge Moreira de Souza

Authors
  1. Giovanni Moura de Holanda
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  2. Cristina Y. K. Obata Adorni
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  3. Jorge Moreira de Souza
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Corresponding author

Correspondence to Giovanni Moura de Holanda .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Computing Engineering, University of Campinas, Campinas, São Paulo, Brazil

    Yuzo Iano

  2. Faculty of Technology, University of Campinas, Campinas, São Paulo, Brazil

    Rangel Arthur

  3. Divisão de Engenharia Eletrônica, Instituto Tecnológico de Aeronáutica ITA, São José dos Campos, São Paulo, Brazil

    Osamu Saotome

  4. Universidade Federal Fluminense (UFF), Duque de Caxias, Rio de Janeiro, Brazil

    Vânia Vieira Estrela

  5. Faculty of Electrical and Computing Engineering, University of Campinas, Campinas, São Paulo, Brazil

    Hermes José Loschi

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de Holanda, G.M., Obata Adorni, C.Y.K., de Souza, J.M. (2019). Data Science Supporting Smart City Management: A Predictive Analysis Perspective. In: Iano, Y., Arthur, R., Saotome, O., Vieira Estrela, V., Loschi, H. (eds) Proceedings of the 4th Brazilian Technology Symposium (BTSym'18). BTSym 2018. Smart Innovation, Systems and Technologies, vol 140. Springer, Cham. https://doi.org/10.1007/978-3-030-16053-1_41

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  • DOI: https://doi.org/10.1007/978-3-030-16053-1_41

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  • Online ISBN: 978-3-030-16053-1

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