Affiliations: College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
Correspondence:
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Corresponding author. Yuejun Xia, College of Life Science, Jilin Agricultural University, Changchun, Jilin, China. E-mail: [email protected].
Abstract: 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.
Keywords: Big data, data mining, ideology and politics, education management
