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

Downloads

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.

Disclaimer: The publisher and editors accept no responsibility for statements made by the authors

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
Views
  • Abstract 458
  • PDF 1129
  • EPUB 197
  • XML 229