数据挖掘在教学业绩考核中的应用研究

数据挖掘是致力于数据分析和理解、揭示数据内部潜在联系的技术,关联规则是数据挖掘中最活跃的研究方法之一。高校教学管理者从诸多方面对教师教学业绩进行考核,该文针对某高校教师教学业绩考核数据集,采用关联规则中的Apriori算法,挖出数据集中某些数据项之间的关联规则,通过对关联规则的分析找出它们之间隐藏的信息,为高校教学管理者提供决策支持,同时指导教师的教学。

The Application Study of Data Mining in Teaching Achievement Evaluation

Data mining is devotes to the data analysis and the understanding, the revelation data interior latent relation technology, the Association rule is in the data mining one of most active research ways. The university teaching managers carry on the evaluation from many aspects to the teacher teaching achievement, based on some university teacher teaching achievement evaluation dataset, This article Uses the Apriori algorithm of the Association rule to dig out the Association rules in the dataset between certain data items, and discover hideaway information between them through to the rule analysis, which will Provide decision-supporting for the university teaching managers, simultaneously direct teacher's teaching.