Paper
19 December 2021 Application of big data analysis in economic statistics
Tao Wang, Zhongkai Ouyang, Jiahao Hou, Zihan Shen, Zhiming Cui
Author Affiliations +
Proceedings Volume 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain; 121280H (2021) https://doi.org/10.1117/12.2625000
Event: 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, 2021, Macao, China
Abstract
In the rapid development of social economy, information technology has been widely used. Especially in the context of the era of big data, with the attention and recognition of various high-tech concepts by all enterprises, the technical performance and economic development level has been steadily improved. Therefore, on the basis of understanding the changes in economic statistics thinking under the background of big data, this paper analyzes the application effect of neural network in economic forecasting according to practical application technology concepts, thus proving the unique advantages of big data analysis in economic statistics.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tao Wang, Zhongkai Ouyang, Jiahao Hou, Zihan Shen, and Zhiming Cui "Application of big data analysis in economic statistics", Proc. SPIE 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain, 121280H (19 December 2021); https://doi.org/10.1117/12.2625000
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KEYWORDS
Statistical analysis

Neural networks

Data analysis

Data modeling

Data processing

Error analysis

Statistical modeling

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