Design of Intelligent Integration System for Multi-source Industrial Field Data Based on Machine Learning-Reference-Cited by-同舟云学术

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Design of Intelligent Integration System for Multi-source Industrial Field Data Based on Machine Learning

Published:2024 Issue: Volume: Page:92-109
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:en
Short-container-title:

Author:

Zhuo Shufeng,Kang Yingjian

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-50577-5_8

Reference10 articles.

1. Baoxue, L., Zoujing, Y., Chunhui, Z.: Variational imputation model of multi-source industrial data based on domain adaptation. Control Eng. China 29(4), 627–636 (2022)

2. Ming, C., Jiyuan, Y.: Research on establishing Chinese altmetrics data integration and analysis platform. J. Acad. Libr. 40(4), 110–119 (2022)

3. Sanning, H., Yuxiang, L.: Cross social network user matching method based on multi-source data integration. Comput. Simul. 38(4), 352–355+466 (2021)

4. Long Beiping, W., Jiajie, Z.Q., et al.: A method of the real estate data integration based on weighted similarity model. Bull. Surv. Mapp. 6, 122–126 (2021)

5. Sunfa, L., Zhixing, L.: Design of server-side data integration system based on virtualization technology. Mod. Electron. Tech. 43(2), 77–79+83 (2020)

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