基于关联规则数据挖掘技术在教学管理中的应用

数据挖掘技术是一种新的信息处理技术。其目的是从海量数据中抽取潜在的,有价值的数据规律或数据模型。通过数据挖掘技术对高校教学数据的分析处理,能够形成真正有价值的知识,向决策者提供信息支持,有利于推动学校教学改革和建设的全面发展。本文主要针对现行高校实际运作的学分选课数据库系统,以关联规则挖掘为例,提出简单而可行的数据挖掘应用实施办法。

Data Mining Association Rules on the Management of Technology in teaching

Data Mining is a knowledge discovery technology that extracting valuable rules or models from huge raw data. With the help of data mining technology on the decision support system for the educational administration, the administrator can get much valuable knowledge about the data of the university education.Educational information through data mining technology for the analysis and can form a truly valuable knowledge and provide information to policy makers, and is conducive to promoting the all-round development of school education reform. This paper will introduce a practical and simple method for realization the application based on mining association rules.