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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Study on application of data mining technology in university computer network educational administration management system
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Study on application of data mining technology in university computer network educational administration management system

机译：数据挖掘技术在高校计算机网络教育管理系统中的应用研究

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0University educational administration management system is one of the core tasks of digital campus. Data mining is a technology that taps potential information from a large amount of data according to a specific algorithm for researchers to analyze. The experimental comparison between the improved algorithm and the unmodified algorithm shows that the improved algorithm has better performance and can improve the convergence speed of the clustering and the accuracy of the clustering results. The improved algorithm is applied to the mining of student achievement evaluation. Finally, according to the comparison of the results of the traditional rating criteria with the dynamic rating evaluation results, the results confirm the rationality and feasibility of the management of college computer network education according to the clustering algorithm. According to the cluster analysis of these two models, it shows that it is meaningful to introduce data mining into the management of college computer network education administration.
机译：0单身教育管理管理系统是数字校园的核心任务之一。数据挖掘是根据研究人员分析的特定算法从大量数据中抽出潜在信息的技术。改进算法与未修改算法之间的实验比较表明，改进的算法具有更好的性能，可以提高聚类的收敛速度和聚类结果的准确性。改进的算法应用于学生成就评估的采矿。最后，根据传统评级标准的结果与动态评级评估结果的结果进行比较，结果证实了根据聚类算法的大学计算机网络教育管理的合理性和可行性。根据这两种模型的集群分析，它表明，将数据挖掘引入大学计算机网络教育管理管理的管理是有意义的。

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