Proceedings of the 2022 International Conference on Science Education and Art Appreciation (SEAA 2022)

Research on the Construction of Big Data Information Platform for Party Building in Private Universities

Authors
Jinglian Hu1, Yan Wang1, *
1Xi’an Peihua University, Xi’an, 710125, China
*Corresponding author. Email: 303632668@qq.com
Corresponding Author
Yan Wang
Available Online 19 November 2022.
DOI
10.2991/978-2-494069-05-3_188How to use a DOI?
Keywords
Private universities; Party building; Big data information platform
Abstract

Using big data technology, private universities should innovate the content and mode of Party organization activities and build a big data information platform for Party building. By constantly improving the intelligent and scientific level of Party building in private universities, we can improve the work efficiency of Party building and effectively solve the problems in the informatization of Party building.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Science Education and Art Appreciation (SEAA 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
19 November 2022
ISBN
978-2-494069-05-3
ISSN
2352-5398
DOI
10.2991/978-2-494069-05-3_188How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Jinglian Hu
AU  - Yan Wang
PY  - 2022
DA  - 2022/11/19
TI  - Research on the Construction of Big Data Information Platform for Party Building in Private Universities
BT  - Proceedings of the 2022 International Conference on Science Education and Art Appreciation (SEAA 2022)
PB  - Atlantis Press
SP  - 1554
EP  - 1560
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-05-3_188
DO  - 10.2991/978-2-494069-05-3_188
ID  - Hu2022
ER  -