Prediction of the Data Demand Model of University Teachers and Students

Xinping Lv

Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

Prediction of the Data Demand Model of University Teachers and Students

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.15-12-2023.2345369,
    author={Xinping  Lv},
    title={Prediction of the Data Demand Model of University Teachers and Students},
    proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
    publisher={EAI},
    proceedings_a={PMBDA},
    year={2024},
    month={5},
    keywords={sampling stepwise regression lstm neural network k-means clustering data requirement service platform college teachers and students},
    doi={10.4108/eai.15-12-2023.2345369}
}

Xinping Lv
Year: 2024
Prediction of the Data Demand Model of University Teachers and Students
PMBDA
EAI
DOI: 10.4108/eai.15-12-2023.2345369

Xinping Lv¹^,*

1: Shandong Normal University

*Contact email: 15854585772@163.com

Abstract

This survey mainly takes teachers and students in colleges and universities as the survey objects, investigates the data needs of teachers and students in colleges and universities, and draws conclusions and puts forward reasonable suggestions by combining the gradual regression model, Bernoulli distribution, short-term memory model, K-means clustering model and negative binomial model. On the basis of the research conclusions, this paper considers how to build a data service platform suitable for teachers and students in universities, so as to provide reference for the subsequent construction.

Keywords: sampling stepwise regression lstm neural network k-means clustering data requirement service platform college teachers and students

Published: 2024-05-13
Publisher: EAI

: http://dx.doi.org/10.4108/eai.15-12-2023.2345369