基于数据挖掘的高校教学决策支持系统设计

为了充分有效利用高校教学管理工作多年来积累的大量数据,采用数据挖掘技术从中挖掘出有价值的信息,为学校教学管理提供决策支持,设计了一个专门的高校教学决策支持系统.该系统基于数据挖掘及数据仓库技术,采用C/S/S和B/S/S模式的三层体系结构,使用关联规则、决策树、聚类等方法对高校数据进行分析.通过基于预处理的改进Apriori算法在教学评价中的应用为例,说明数据挖掘过程,分析挖掘结果.

Design of the Decision-Supporting System of University Teaching Based on Data Mining

In order to utilize the abundant data about universities education management effectively,data mining technologies are applied to mine useful information which can serve teaching management for decision-making from these data,and a special decision-supporting system of university teaching is designed.Based on data mining and data warehouse techniques,it adopts a C/S/S and B/S/S models with three layers,analyses the data by using association rules,decision tree and clustering.An application example of the preprocessing improved Apriori algorithm in teaching appraisal is given to explain the process of data mining and analyze the mining results.