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Big data related technologies, challenges and future prospects

Min Chen, Shiwen Mao, Yin Zhang and Victor C. M. Leung New York: Springer, 2014 ISBN 978-3-319-06244-0 (printed book), 978-3-319-06245-7 (e-book), 89 pp, USD54.99 (printed book), USD39.99 (e-book)

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References

  • Mayer-Schönberger V, Cukier K (2013) Big data: a revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt, Boston

    Google Scholar 

  • Richert W (2013) Building machine learning systems with python. Packt Publishing Ltd, Birmingham

    Google Scholar 

  • White T (2012) Hadoop: the definitive guide. O’Reilly Media Inc, Beijing

    Google Scholar 

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Authors and Affiliations

  1. School of Information Technology, Deakin University, Burwood, VIC, 3125, Australia

    Gang Li

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  1. Gang Li
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Correspondence to Gang Li.

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Li, G. Big data related technologies, challenges and future prospects. Inf Technol Tourism 15, 283–285 (2015). https://doi.org/10.1007/s40558-015-0027-y

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  • DOI: https://doi.org/10.1007/s40558-015-0027-y

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