Open AccessApplication of big data collection-analysis-visualization in the teaching process of colleges and universities under the background of the epidemic
Author(s) -
Zhang Jin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1800/1/012009
Subject(s) - big data , process (computing) , computer science , cloud computing , data science , visualization , association rule learning , quality (philosophy) , order (exchange) , data mining , mathematics education , psychology , business , philosophy , epistemology , finance , operating system
With the advent of the era of big data, new vision and broad ideas have been provided for college teaching. Using big data-related knowledge to study the teaching system of universities can not only promote the implementation of big data teaching in universities, but also effectively improve the quality of university teaching. This article discusses the technology related to the teaching big data cloud platform. This article introduces the role and application of the association rule algorithm in the process of big data mining, and according to the actual situation, studies the use of this algorithm in the process of big data mining in colleges and universities. In order to further reflect the advantages of its algorithm, it is compared with other algorithms, which proves that the algorithm in this paper has higher execution efficiency and accuracy.