Data quality affecting big data analytics in smart factories : research themes, issues and methods

Liu, C., Peng, G., Kong, Y. et al. (2 more authors) (2021) Data quality affecting big data analytics in smart factories : research themes, issues and methods. Symmetry, 13 (8). 1440.

Abstract

Metadata

Authors/Creators:
  • Liu, C.
  • Peng, G.
  • Kong, Y.
  • Li, S.
  • Chen, S.
Copyright, Publisher and Additional Information: © 2021 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: data quality; big data analytics; smart factory; systematic review
Dates:
  • Accepted: 3 August 2021
  • Published (online): 5 August 2021
  • Published: 5 August 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Sheffield University Management School
Depositing User: Symplectic Sheffield
Date Deposited: 24 Aug 2021 13:41
Last Modified: 24 Aug 2021 13:41
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/sym13081440

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