| Autor: |
Liangliang Yu, Jinghong Zhao, Ge Weichun, Qi Jun, Biqi Liu, Yang Mingyu, Li Wei, Hongyu Zhang, Zhao Li, Jin Chengming, Chen Shuo |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
MATEC Web of Conferences, Vol 189, p 03005 (2018) |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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