Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)

Study on the Data Acquisition and Cleaning Technology in Mixed Heterogeneous System

Authors
Wencui Li, Gang-song Dong, Xiong Li, Weixia Tang, Yong Zhang, Yi Yang
Corresponding Author
Wencui Li
Available Online January 2018.
DOI
10.2991/macmc-17.2018.112How to use a DOI?
Keywords
big data, data acquisition, data cleaning
Abstract

Big data, as the frontier technology of data analysis, can quickly obtain valuable information from various types of data. This article is based on unified, standard data collection platform. It collects multi-word configuration, alarm and performance data. Combined with a dumb associated resource data, and research the data acquisition clean governance. Thus, the quality of data sets can be improved to meet the demand of data analysis.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
Series
Advances in Engineering Research
Publication Date
January 2018
ISBN
978-94-6252-439-2
ISSN
2352-5401
DOI
10.2991/macmc-17.2018.112How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Wencui Li
AU  - Gang-song Dong
AU  - Xiong Li
AU  - Weixia Tang
AU  - Yong Zhang
AU  - Yi Yang
PY  - 2018/01
DA  - 2018/01
TI  - Study on the Data Acquisition and Cleaning Technology in Mixed Heterogeneous System
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 602
EP  - 605
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.112
DO  - 10.2991/macmc-17.2018.112
ID  - Li2018/01
ER  -