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The Information Strategy of University Education and Teaching Management in the Era of Cloud Computing and Big Data

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

Abstract

This paper focuses on the analysis of the informatization strategy of university education and teaching management in the era of cloud computing and big data. Firstly, it analyzes the current situation of university education and teaching management informatization in the era of cloud computing and big data, analyzes and designs a set of information management system through a collaborative filtering algorithm, realizes parameter setting, and then explains and discusses it from several aspects In the era of cloud computing and big data, the implementation measures of university education and teaching management informatization are designed to provide reference materials for relevant research.

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References

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Author information

Authors and Affiliations

  1. Jiangsu University of Science and Technology, Zhenjiang, 212003, Jiansu, China

    Jianhua Chen & Huili Dou

Authors
  1. Jianhua Chen
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  2. Huili Dou
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Corresponding author

Correspondence to Huili Dou .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  2. University of Aizu, Fukushima, Japan

    Neil Yen

  3. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Chen, J., Dou, H. (2021). The Information Strategy of University Education and Teaching Management in the Era of Cloud Computing and Big Data. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_235

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_235

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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