教学管理中数据挖掘技术的应用研究

Research on Application of Data Mining Technology in Teaching Management

数据挖掘技术就是从大型数据库的数据中提取隐含的和事先未知的,但潜在有用的信息。院校教学过程中积累了海量数据,通过正确识别数据源,合理选取评价指标,对数据进行抽取、清理、净化和转换处理,建立数据仓库。数据仓库中数据集合具备一致性和完整性的特点,利用关联规则算法计算数据的置信度和支持度,发现一些强壮规则,得到靠直觉不能发现的信息,帮助院校做出决策,指导教学改革的方向,提升教学质量。

The data mining technology is the extraction of implicit, previously unknown, but potentially useful information from large databases. Amounts of data have been accumulated in the process of college teaching. By means of the correct identification of data source and the reasonable selection of evaluation index, the data extraction, cleaning, purification, transformation and processing are performed to build the data warehouse. Data sets in data warehouse have such characteristics as consistency and integrity. By using the association rule algorithm, the confidence and support of data are calculated to find some information which cann＇t be found by intuition, help the college to make decision, guide the teaching reform and improve the teaching quality.