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Big data based research on the management system framework of ideological and political education in colleges and universities

机译:高校思想政治教育管理体系框架的大数据研究

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摘要

Artificial intelligence model combined with data mining technology can mine useful data from college ideological and political education management, and conduct process evaluation and teaching management. Therefore, based on the superiority of data mining technology and artificial intelligence system, this paper improves the traditional algorithm and constructs a university ideological and political education management model based on big data artificial intelligence. Moreover, this study uses a local sensitive hash function to generate representative point sets and uses the generated representative point sets for clustering operations. In order to verify the performance of the algorithm model, a control experiment is designed to compare the algorithm of this paper with traditional data mining methods. It can be seen from the research results that the algorithm model constructed in this paper has good performance and can be applied to practice.
机译:人工智能模型与数据挖掘技术相结合,可以从高校思想政治教育管理中挖掘有用的数据,进行过程评价和教学管理。因此,本文基于数据挖掘技术和人工智能系统的优势,对传统算法进行改进,构建了基于大数据人工智能的高校思想政治教育管理模型。此外,本研究使用一个局部敏感散列函数来生成代表点集,并使用生成的代表点集进行聚类操作。为了验证算法模型的性能,设计了一个控制实验,将本文的算法与传统的数据挖掘方法进行比较。从研究结果可以看出,本文构建的算法模型具有良好的性能,可以应用于实际。

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