基于多策略的学生成绩挖掘与分析

通过对数据挖掘技术的相关分析与比较,提出了多策略的设计思路,将数据挖掘与统计分析相结合,从海量成绩数据中提取隐藏于其中的有用信息,从而科学指导教学,提高教学管理水平。多策略是指:采用基于决策树的分类方法,对学生成绩库中数据进行挖掘,生成学生成绩决策树,能直观显示出某一成绩在不同等级计算方式所处的位置,为教学部门提供评价信息;同时采用基于总结规则的统计分析方法,完成不同情况下的成绩查询及对比分析,实现学生成绩分析报告、试卷质量评价报告及质量分析表的自动生成。应用该系统后将改进工作效率,提高教学质量。

Grade Data Mining and Analysis Based on Multi-Strategy

After analyzing and comparing the data mining technology,this paper comes up with multi-strategy analysis method,and combines data mining technology with statistics analysis to extract useful information which can instruct teaching and improve educational administration from mass grade data.Multi-strategy means as follows:Utilizing classifying data mining methods based on decision tree to analyze the data in grade databasion.A grade decision tree is generated to show directly a position of grade according to different computing methods and to support estimation.At the same time,utilizing classification method based on summing-up principles to do such things as grade query analysis and contrast analysis to realize automatic generation of grade analysis report,test paper's quality assessment report and quality analysis table.Applying it will promote the efficiency of the work and improve the quality of education.