Rethinking big data in a networked world

Lionel M. NI; Haoyu TAN; Jiang XIAO

doi:10.1007/s11704-016-6902-7

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Front. Comput. Sci. ›› 2016, Vol. 10 ›› Issue (6) : 965-967. DOI: 10.1007/s11704-016-6902-7

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Rethinking big data in a networked world

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Lionel M. NI, Haoyu TAN, Jiang XIAO. Rethinking big data in a networked world. Front. Comput. Sci., 2016, 10(6): 965‒967 https://doi.org/10.1007/s11704-016-6902-7

References

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[1]	Greenwald G, MacAskill E. NSA Prism program taps into user data of Apple, Google and others. The Guardian, 2013

[2]	He K M, Zhang X Y, Ren S Q, Sun J. Deep residual learning for image recognition. 2015, arXiv preprint arXiv:1512.03385

[3]

Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z F, Citro C, Corrado G S, Davis A, Dean J, Devin M, Ghemawat S, Goodfellow I, Harp A, Irving G, Isard M, Jia Y Q, Jozefowicz R, Kaiser L, Kudlur M, Levenberg J, Mane D, Monga R, Moore S, Murray D, Olah C, Schuster M, Shlens J, Steiner B, Sutskever I, Talwar K, Tucker P, Vanhoucke V, Vijay V, Viegas F, Vinyals O, Warden P, Wattenberg M, Wicke M, Yu Y, Zheng X Q. TensorFlow: large-scale machine learning on heterogeneous systems. 2016, arXiv preprint arXiv:1603.04467

[4]	Barga R, Fontama V, Tok W H. Cortana analytics. In: Barga R, Fontama V, Wee Tok W H, eds. Predictive Analytics with Microsoft Azure Machine Learning. New York: Apress, 2015, 279–283 CrossRef Google scholar