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Symmetry 2019, 11(2), 213; https://doi.org/10.3390/sym11020213

Emerging Approaches and Advances in Big Data

1,2,*
and
3
1
Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China
2
Faculty of Engineering, Computing & Science, Swinburne University of Technology Sarawak Campus, Kuching 93350, Malaysia
3
School of Information Technology, Deakin University, Melbourne, VIC 3125, Australia
*
Author to whom correspondence should be addressed.
Received: 31 January 2019 / Accepted: 31 January 2019 / Published: 13 February 2019
(This article belongs to the Special Issue Emerging Approaches and Advances in Big Data)
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This special issue of Symmetry entitled “Emerging Approaches and Advances in Big Data” consists of 17 papers [...] View Full-Text
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Man, K.L.; Lee, K. Emerging Approaches and Advances in Big Data. Symmetry 2019, 11, 213.

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