文章基本信息

标题：Research on Mining of Applied Mathematics Educational Resources Based on Edge Computing and Data Stream Classification
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作者：Liping Lu ; Jing Zhou
期刊名称：Mobile Information Systems
印刷版ISSN：1574-017X
出版年度：2021
卷号：2021
页码：1-8
DOI：10.1155/2021/5542718
出版社：Hindawi Publishing Corporation
摘要：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 system architecture suitable for existing applied mathematics education through edge computing technology, which can effectively improve the efficiency of data mining. Secondly, the data stream classification algorithm is used for information extraction and classification integration of massive applied mathematical education data. This method provides potential and valuable information for decision-makers and education practitioners. Finally, the simulation and performance test of the system verify that it has the functions of mathematical information mining and data processing. This system will provide strong support for applied mathematics education reform.