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School Score Mining First Step

机译:开学分数挖掘第一步

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摘要

Education is very complicated, and sometimes even referred as art. But people would like to use more engineering ways to improve the performance of education. Nowadays, as data mining has been showed useful in many circumstances, it is a potential and promising way to help education. Based on score monitoring system of school, this paper proposed some mining techniques. These methods include classifying students by abstract attributes, and discovering topology of knowledge points. It can be seen that those methods are practical and useful, even this is the first step on school score mining.
机译:教育非常复杂,有时甚至被称为艺术。但是人们希望使用更多的工程方法来提高教育绩效。如今,由于数据挖掘在许多情况下都非常有用,因此它是帮助教育的潜在且有前途的方法。在学校成绩监测系统的基础上,提出了一些挖掘技术。这些方法包括通过抽象属性对学生进行分类,以及发现知识点的拓扑。可以看出,这些方法都是实用且有用的,即使这是学校成绩挖掘的第一步。

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