Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)

Present and Future of Network Big Data

Authors
Shi Xin
Corresponding Author
Shi Xin
Available Online June 2016.
DOI
https://doi.org/10.2991/icemc-17.2017.19How to use a DOI?
Keywords
Big Data; Network Big Data; Big Data Storage; Data Mining
Abstract
Network big data refer to the massive data generated by interaction and fusion of the Ternary human-machine-thing universe in the Cyberspace and available on the Internet. The Increase of their scale and complexity provided that of the capacity of hardware characterized by the Moore law, which brings the grand challenges to the architecture and the processing and computing Capacity of the contemporary IT systems, meanwhile set presents live opportunities on Deep mining and taking full advantage of the big value of network big data. Therefore, it is Pressing to research the disciplinary issues and discover the common laws of network big data, And further study the fundamental theory and basic approach to qualitatively or quantitatively Dealing with network big data. This paper analysis thezens caused by the complexity, Uncertainty and emergence of network big data, and summarizes major issues and research status of The awareness, representation, storage, management, mining, and social computing of network Big data, as well as network data platforms and applications. It is looking ahead to the development Trends of big data science, new modes and paradigm of data computing, new IT infrastructures, And data security and privacy, etc.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Shi Xin
PY  - 2016/06
DA  - 2016/06
TI  - Present and Future of Network Big Data
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 90
EP  - 93
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.19
DO  - https://doi.org/10.2991/icemc-17.2017.19
ID  - Xin2016/06
ER  -