Clementine的数据挖掘技术对学科隐形关联性研究

摘要

The data mining technology focuses on the comprehension and analysis of data, exploration of the hidden implica⁃tion. The paper attempts to exploit data through GRI Model and Apriori Model, with the help of data mining software-Clementine 12. 0.3, to find the recessive correlation, which will be the guide for the selective courses of the undergraduates and graduates.%数据挖掘是一种致力于对数据进行理解和分析、揭示数据深层含义的技术．针对研究生在高校图书馆的图书借阅记录数据，借助Clementine 12．0．3数据挖掘软件，用GRI模型和Apriori模型进行数据挖掘，通过数据分析，寻找各学科之间的隐形关联性，这对本科生和研究生教学培养工作中选修课程的制定具有积极的指导作用．