Patent
Big data analysis model algorithm type selection method and device, electronic equipment and medium
Wang Honggang,Ji Xin,Liu Shi,Zhao Xiaolong,Yu Ting,Liu Wen,Li Junting,Zhao Yuliang,Zhang Fan +8 more
- 10 Apr 2020
1
TL;DR: In this paper, a big data analysis model algorithm type selection method and device, electronic equipment and a medium is presented, which comprises the steps of matching a corresponding model category according to an application scene and data characteristics of power grid business data; respectively processing the business data based on at least two analysis models corresponding to the model category to obtain a processing result; and evaluating the analysis model according to the processing result and evaluation parameters corresponding to model category, and performing model recommendation based on the evaluation result.
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Abstract: The embodiment of the invention provides a big data analysis model algorithm type selection method and device, electronic equipment and a medium. The method comprises the steps of matching a corresponding model category according to an application scene and data characteristics of power grid business data; respectively processing the power grid business data based on at least two analysis models corresponding to the model category to obtain a processing result; and evaluating the analysis model according to the processing result and evaluation parameters corresponding to the model category, and performing model recommendation based on the evaluation result. According to the technical scheme provided by the embodiment of the invention, the model category required for big data analysis is quickly determined through the application scene and the data characteristics, and the big data analysis efficiency is improved.
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Patent
Big data system structure construction method oriented to manufacturing industry data space
Wu Zhuoru,Ren Hongru,Lu Renquan,Li Hongyi,Qiu Yong +4 more
- 16 Mar 2021
TL;DR: In this paper, a big data system structure construction method oriented to a manufacturing industry data space is presented. And the method comprises the following steps: firstly, constructing a multi-dimensional data space model comprising three dimensions of a business domain, a modal domain and a processing domain.