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改进的关联规则挖掘算法及其在教育信息挖掘中的应用
An Improved Association Rule Mining Algorithm and Its Application to Educational Information Mining
【摘要】 利用数据挖掘的关联规则技术,可以从大量数据中发现有价值的规则。文章利用改进的Apriori算法对上海海事大学的教育信息数据库进行了挖掘,从中发现了一些有价值的规则,为学校的教育决策和教学管理提供了有指导意义的信息。文章还实现了大量规则的文本和图形可视化。
【Abstract】 Valuable rules can be found from large data sets by using the association rule technology of data mining. This paper mined the student information database of Shanghai Marine University by using an improved Apriori algorithm, and found some valuable rules, which provided the university some educational information in education decision and management. The visualization of a large number of rules were also implemented in this paper.
- 【文献出处】 交通与计算机 ,Computer and Communications , 编辑部邮箱 ,2005年04期
- 【分类号】TP311.13
- 【被引频次】47
- 【下载频次】435