Big Data in civil engineering: a state-of-the-art survey

    Oleg Kapliński Info
    Natalija Košeleva Info
    Guoda Ropaitė Info

Abstract

Data generation has increased drastically over the past few years. Data management has also grown in importance because extracting the significant value out of a huge pile of raw data is of prime importance while making different decisions. This article reviews the concept of Big Data. The Thomson Reuters Web of Science Core Collection academic database was used to overview publications that contained “BIG DATA” keywords and were included in Web of Science Category under “Engineering”. The analysis of publications was made according to year, country, journal, authors, language and funding agency.

Keywords:

engineering, Big Data, Web of Science

How to Cite

Kapliński, O., Košeleva, N., & Ropaitė, G. (2016). Big Data in civil engineering: a state-of-the-art survey. Engineering Structures and Technologies, 8(4), 165-175. https://doi.org/10.3846/2029882X.2016.1257373

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Published in Issue
December 16, 2016
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Published

2016-12-16

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Review

How to Cite

Kapliński, O., Košeleva, N., & Ropaitė, G. (2016). Big Data in civil engineering: a state-of-the-art survey. Engineering Structures and Technologies, 8(4), 165-175. https://doi.org/10.3846/2029882X.2016.1257373

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