Mathematical and statistical foundations and challenges of (big) data sciences

Authors

  • Loyiso G. Nongxa Centre for Mathematical and Computational Sciences, University of the Witwatersrand, Johannesburg, South Africa

DOI:

https://doi.org/10.17159/sajs.2017/a0200

Keywords:

high dimensionality, heterogeneity, data analytics, modelling, data sets

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Published

2017-03-29

Issue

Vol. 113 No. 3/4 (2017)

Section

Invited Commentary

License

Creative Commons License
All articles are published under a Creative Commons Attribution 4.0 International Licence

Copyright is retained by the authors. Readers are welcome to reproduce, share and adapt the content without permission provided the source is attributed.

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How to Cite

Nongxa, L. G. (2017). Mathematical and statistical foundations and challenges of (big) data sciences. South African Journal of Science, 113(3/4), 4. https://doi.org/10.17159/sajs.2017/a0200
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