Impact Assessment of Big Data on Higher Education Management Based on Time-Varying Clustering Sampling Algorithm | Zendy

Chen Liu | Zendy; Boxuan Song | Zendy

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Impact Assessment of Big Data on Higher Education Management Based on Time-Varying Clustering Sampling Algorithm

Author(s) -

Chen Liu,

Boxuan Song

Publication year - 2021

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2021/7954797

Subject(s) - cluster analysis , big data , sorting , computer science , sampling (signal processing) , order (exchange) , higher education , business education , data science , algorithm , data mining , artificial intelligence , business , political science , filter (signal processing) , finance , law , computer vision

With the continuous development of social economy, education has received more and more attention. As an important part of higher education, it has been profoundly influenced by the era of data in recent years. In order to evaluate the impact of big data on higher education management, this paper introduced a time-varying lens algorithm (TLA) to analyze the business needs of teachers and education management by sorting out the business processes of education management, education thinking, and education practice. Through learning and mining the corresponding technology, improve the corresponding educational ability, and use big data to assist the management of higher education. The simulation results show that the time-varying clustering sampling algorithm is effective.

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