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College Students Network Learning Behavior Based on Data Mining

机译:基于数据挖掘的大学生网络学习行为

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摘要

With the advance of information technology, it is highlighted on how to extract valuable information from mass data. Through data mining technology we can automatically analyze data, make inductive reasoning, mine potential network learning behavior classification and characteristics of students, quantify the effect and evaluation of network learning to continuously improve the overall quality and learning ability of them.
机译:通过信息技术的进展,它突出了如何从大众数据中提取有价值的信息。通过数据挖掘技术,我们可以自动分析数据,进行归纳推理,矿山潜在网络学习行为分类和学生特征,量化网络学习的效果和评价,不断提高他们的整体质量和学习能力。

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