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The application of data mining technology based on teaching information

机译:基于教学信息的数据挖掘技术的应用

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Data mining deepens the data analysis, also is able to mine the interesting mode hiding in mass data automatically. As a new data analysis technology, data mining makes full use of the modern software technology and computer scientific knowledge, has the extremely important research significance, provides for researchers of various fields with a new intelligence means to realize and use data. In data mining, association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. This paper makes a series of data analysis and research on the application of data mining technology in the students' scores. This paper use Apriori algorithm of association rules to analyze the intrinsic link among various courses, dig out the precedence relationship and association of students' learning courses, reveal the teaching regularities and problems from large amount of data, as well as to provide a strong basis for reasonable course-setting.
机译:数据挖掘加深了数据分析,也能够自动挖掘隐藏在海量数据中的有趣模式。数据挖掘作为一种新的数据分析技术,充分利用了现代软件技术和计算机科学知识,具有极其重要的研究意义,为各个领域的研究人员提供了一种新的智能手段来实现和使用数据。在数据挖掘中,关联规则学习是发现大型数据库中变量之间有趣关系的一种流行且经过充分研究的方法。本文对数据挖掘技术在学生成绩中的应用进行了一系列数据分析和研究。本文运用关联规则的Apriori算法分析各课程之间的内在联系,找出学生学习课程的优先关系和关联,从大量数据中揭示教学规律和存在的问题,并为其提供坚实的依据。进行合理的课程设置。

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