2021
DOI: 10.1155/2021/5542718
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Abstract: Facing the massive data of higher education institutions, data mining technology is an intelligent information processing technology that can effectively discover knowledge from the massive data and can discover important information that people have previously ignored from the huge data information. This article is dedicated to the development of applied mathematics education resource mining technology based on edge computing and data stream classification. First of all, this article establishes a resource sy… Show more

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Cited by 27 publications
(8 citation statements)
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“…e cognitive diagnostic model uses these scores, along with other teaching information, to make inferences about students' abilities and generate cognitive reports that are returned to students. Students can carry out the targeted training based on cognitive reports to check and fill gaps [14].…”
Section: Methodsmentioning
confidence: 99%
“…e cognitive diagnostic model uses these scores, along with other teaching information, to make inferences about students' abilities and generate cognitive reports that are returned to students. Students can carry out the targeted training based on cognitive reports to check and fill gaps [14].…”
Section: Methodsmentioning
confidence: 99%
“…e upper layer is business layer, which is composed of virtual machine cluster. Connecting with the external network and completing various tasks are all completed by the business layer, and the support layer is only used to carry the business layer, logically isolated from the external network [13]. e overall architecture of the education information platform includes hardware and software, and a virtual machine is also used for control analysis to achieve the effect of platform application.…”
Section: E Overall Architecture Of the Education Informationmentioning
confidence: 99%
“…Lu and Zhou wrote this article to focus on the development of applied technology for the extraction of mathematical education. Second, use algorithms to extract information and classify and integrate a large number of trained professionals [8]. Although the analysis is very accurate, there are some shortcomings in the analysis of physical education.…”
Section: Related Workmentioning
confidence: 99%