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Achievement Management of Public Physical Education in Normal College Based on Data Mining

机译:基于数据挖掘的高师公共体育课成绩管理

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Achievement management is of great importance for public physical education in normal college, in this paper, we proposed a cluster technique based method to mine student scores in public physical courses. The proposed data mining system for achievement mining of public physical education is made up of five modules: Data source, 2) Data warehouse, 3) Multidimensional dataset, 4) OLAP module, and 5) Data results visualization. The main innovation of this paper is to introduce cluster technique to mine useful knowledge in achievement management. Cluster technique aims to group similar elements in a same cluster, and let elements belonged to various cluster be dissimilar. Finally, Weka platform is used to test the performance of the proposed algorithm. Experimental results show that the proposed method can effectively discover some laws which are hidden in student scores.
机译:成绩管理对高师院校公共体育教育非常重要,本文提出了一种基于聚类技术的公共体育课程学生成绩挖掘方法。拟议的公共体育成就挖掘数据挖掘系统由五个模块组成:数据源,2)数据仓库,3)多维数据集,4)OLAP模块和5)数据结果可视化。本文的主要创新之处在于引入集群技术来挖掘绩效管理中的有用知识。聚类技术旨在将相似的元素分组在同一聚类中,并使属于各个聚类的元素互不相同。最后,使用Weka平台来测试所提出算法的性能。实验结果表明,该方法可以有效地发现学生成绩中隐藏的一些规律。

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