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Big Data-Based Decision Support Systems

  • Living reference work entry
  • First Online:
Encyclopedia of Ocean Engineering

  • 109 Accesses

Synonyms

Big data; Data analysis; Machine learning; Ship navigation; Ship navigation sensor

Definition

Big data is not a newly developed concept from an evolutionary perspective. Various data warehouses have been created to store huge amount of data, such as weather data, consumption data, and stock index data, ever since the 1990s. During that time, one terabyte was considered as big data, but any numerical definition is expected to be modified over time as the development of collecting, storing, and analyzing data technology (Watson 2014). One important characteristic is that big data can be loosely defined as data sets with sizes beyond the ability of common statistical software or database management system (Snijders et al. 2012). An alternative approach is to feature big data mainly in 3 Vs – volume, velocity, and variety (Hilbert 2016). In today’s digital world, every single thing can be regarded as of generating data, for example, sensors/meters and activity records from...

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Author information

Authors and Affiliations

  1. Department of Mechanics and Maritime Sciences, Chalmers University of Technology, Gothenburg, Sweden

    Xiao Lang & Wengang Mao

Authors
  1. Xiao Lang
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  2. Wengang Mao
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Corresponding author

Correspondence to Wengang Mao .

Editor information

Editors and Affiliations

  1. Hadal Science and Technology Research Center, Shanghai Ocean University, Shanghai, China

    Weicheng Cui

  2. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China

    Shixiao Fu

  3. School of Marine Science and Technology, Newcastle University, Newcastle, UK

    Zhiqiang Hu

Section Editor information

  1. Chalmers University of Technology, Gothenburg, Sweden

    Wengang Mao

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Lang, X., Mao, W. (2020). Big Data-Based Decision Support Systems. In: Cui, W., Fu, S., Hu, Z. (eds) Encyclopedia of Ocean Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-6963-5_255-1

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  • DOI: https://doi.org/10.1007/978-981-10-6963-5_255-1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6963-5

  • Online ISBN: 978-981-10-6963-5

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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