基于挖掘分析影响学生学习效果主因素为目的,采用了能够对数据进行挖掘分析并直观展示结果的决策树技术方法,通过某班学生某门课程的学习信息数据进行挖掘分析的试验,采用ID3和C4.5算法生成决策树,并使用后剪枝技术精简决策树,最终找出决定本门课程学习效果的主要因素-考勤.从而为分析学生学习情况,给予个性化提示与指导提供有效的建议.%Based on the analysis of the main factors that influence the students' learning effect , the method of decision tree is adopted to analyze the data and display the results directly. Through the study of a certain class of students learning data mining analysis of the test ,it uses the ID3 and C4.5 algorithm to generate a decision tree and streamline it with post-pruning technology. Finally the main factors influenced the effectiveness of this course , checking work attendance was found out. Then an effective suggestions on individualized presentation and guidance was provided after analysis of students learning.
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