Construction of Data Acquisition and Statistical Analysis Model based on Big Data Processing

DOI

10.2991/meici-17.2017.4How to use a DOI?

Keywords

Data acquisition; Statistical analysis; Big data processing; Data mining; Distributed computing

Abstract

Statistics and analysis mainly use distributed database or distributed computing cluster to analyze and classify the massive data stored in it. The main features and challenges of statistics and analysis are that the amount of data involved in the analysis is large, and the system resources, especially I/O, will be greatly occupied. The method of big data analysis is an important factor in determining the value of the final information. The paper presents construction of data acquisition and statistical analysis model based on big data processing. Big data analysis, mining and utilization will bring great business value to enterprises.

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  - Hongsheng Xu
AU  - Ganglong Fan
AU  - Ke Li
PY  - 2017/10
DA  - 2017/10
TI  - Construction of Data Acquisition and Statistical Analysis Model based on Big Data Processing
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 15
EP  - 19
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.4
DO  - 10.2991/meici-17.2017.4
ID  - Xu2017/10
ER  -