Using Big Data Techniques to Foster Professional Competencies in Engineering Students

Author:

Kuzmina E. V.,Pyankova N. G.,Botsoeva A. V.

Publisher

Springer Singapore

Reference27 articles.

1. Bilal, M., Oyedele, L.O., Qadir, J., Munir, K., Ajayi, S.O., Akinade, O.O., Owolabi, H.A., Alaka, H.A., Pasha, M.: Big Data in the construction industry: a review of present status, opportunities, and future trends. Adv. Eng. Inform. 30(3), 500–521 (2016)

2. Postnov, K.V., Kagan, P.B.: Technologies “Big Data” for information support of the work of enterprises of the building complex. In: System Engineering of Construction. Cyber-physical Building Systems: Collection of Materials of the Seminar Held in the Framework of the VI International Scientific Conference, pp. 202–206 (2018)

3. Kagan, P.B.: Streaming technologies of data analysis in construction organizational-technological-logical design. Promyshlennoe I Grazhdanskoe Stroitel’stvo 4, 48–52 (2020)

4. Pavel Kagan: Big data sets in construction. In: International Science Conference SPbWOSCE-2018 “Business Technologies for Sustainable Urban Development, vol. 110 (2019). Access mode: https://doi.org/10.1051/e3sconf/201911002007

5. Gnevanov, M.V.: Ensuring the organizational and technological reliability of repair and construction works based on the analysis of “big data”. In: “Pure Science” as a Paradigm of Technical and Technological Progress: A Collection of Articles of the International Scientific and Practical Conference, Ufa, pp. 13–16 (2020)

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