基于Clementine的数据挖掘技术对学科隐形关联的研究——以东华大学纺织学科为例

The Research of Discipline Hiding Association Base on The Clementine Data Mining Technology——A Case Study of Donghua University Textile Discipline

借助数据挖掘软件Clementine 12.0,以Apriori模型和GRI模型为数据挖掘方法,对东华大学近五年来纺织学院博士研究生的借阅记录进行分析。通过分析数据挖掘的结果,寻找学科领域中相互关联的知识,辅助教师的教学工作,优化学科建设。

With the help of data mining software SPSS Clementine 12.0, taking Apriori and GRI model as the way of data mining, Ph. D borrow records of Textile Department of Denghua University was analyzed in this paper. After data mining, it was coneluded that some related knowledge in different aeademie fields could be found. It could give some guides on teaching and opti- mizes the discipline construction.