Research Progress on Data Analysis in Big Data Technology

DOI

10.2991/iccia-17.2017.153How to use a DOI?

Keywords

big data, data mining, machine learning, artificial intelligence.

Abstract

From the concept of "data natural" in DIKW (Data, Information, Knowledge, Wisdom) basic model and data science of information science, human cognition to the world needs to start from the most basic data. Big data technology as the current popular technical field, has been a wide range of attention and research. In this paper, the concept and composition of big data are summarized, including a systematic introduction to data acquisition and perception, data storage and processing, data analysis, data visualization and big data security and privacy protection. Especially, we give a detail analysis in the data analysis aspect, and finally summed up challenges of the big data technology we are facing right now, and technical nature of the big data research. It can give a guide for the future engineering applications.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Muqiao Yang
PY  - 2016/07
DA  - 2016/07
TI  - Research Progress on Data Analysis in Big Data Technology
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 878
EP  - 881
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.153
DO  - 10.2991/iccia-17.2017.153
ID  - Yang2016/07
ER  -