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The application of data mining technology in analysis of college student's performance

机译:数据挖掘技术在大学生成绩分析中的应用

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Data Mining is deeply data analysis method; it can take many goods to evaluate the high school students studying effectiveness. This paper take a high school computer department student's information analysis as an example, according to the implementatation of data mining program, realized the whole process of classification and excavation of the data completely. The process includes making sure the Data Mining target, collecting the data, preprocessing data, classifying and generating the classification rule. ID3 is used to generate a decision tree and post-pruning method is used to pruning the tree. And the according to the decision tree, the classification rule is obtained. The results of Data mining can guide teaching scientifically and improve the quality of teaching.
机译:数据挖掘是一种深入的数据分析方法。评估高中生的学习效果可能需要花费很多时间。本文以某高中计算机系学生的信息分析为例,根据数据挖掘程序的实现,完全实现了数据分类和挖掘的全过程。该过程包括确保数据挖掘目标,收集数据,预处理数据,分类并生成分类规则。 ID3用于生成决策树,后修剪方法用于修剪树。然后根据决策树获得分类规则。数据挖掘的结果可以科学地指导教学,提高教学质量。

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