基于糊模ID3算法的高校学生流失数据挖掘研究

目前高校不断扩招,生源却逐渐减少,于是预防和减少学生流失正成为各高校必须面对的问题。通过对高校学生流失情况进行数据挖掘,可发现一些有价值的信息,为解决高校学生流失问题提供帮助。基于糊模理论提出了糊模ID3算法,并将该算法运用于分析高校学生流失原因之中。通过实验证明,该算法生成的决策树更加合理,分类速度更快,为解决高校学生流失问题提供了理论依据。

Research on data mining in loss of college students based on fuzzy ID3 algorithm

While enrollment of colleges and universities expands, the source of students gradually is shrinked, so that the prevention of student＇s running off has become a problem to be faced in various colleges and universities. Through data mining in students＇ loss in universities, some valuable information is revealed to resolve the problem. The fuzzy ID3 algorithm is proposed based on fuzzy theory and is applied in analyzing the reason of loss of college students. The algorithm is proved by experiments that the generating decision tree is more reasonable, has a faster classification speed, providing a theoretical basis to solve the problem of university students＇ loss.