| Issue |
MATEC Web Conf.
Volume 189, 2018
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 7 | |
| Section | Cloud & Network | |
| DOI | https://doi.org/10.1051/matecconf/201818903005 | |
| Published online | 10 August 2018 | |
A kind of entity recognition algorithm based on Hadoop for power big data
1
Information and Communication Branch of Liaoning Province Electric Power Company Limited, Shenyang 110000, China
2
Liaoning Province Electric Power Company Limited, Shenyang 110000, China
* Corresponding author: qij0427@163.com
With the coming of the era of big data, traditional entity recognition technologies have been unable to effectively finish data preprocessing due to large scale of power grid data and complex volume type features. The rising of Hadoop technologies in these years can deal with big data processings better. Therefore, this paper proposes a power big data entity recognition algorithm based on Hadoop. It applies the discretization algorithm to select higher information accuracy discrete points and put forward a discretization evaluation indicator. In the end, we finish entity recognition of the monitoring data of wind turbines on Hadoop platform.Experimental results show that the proposed algorithm performs well in terms of correctness and breakpoint number experiments and it has a good speed-up ratio. The proposed algorithm can apply to power large data entity recognition processing.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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