数据挖掘课程案例教学研究

数据挖掘是一门交叉性学科，是情报学专业的重要课程之一。它主要介绍数据挖掘的基本概念、原理、方法和技术，涉及多个学科和算法因而教学难度较大。由于数据挖掘学科交叉性强涉及的挖掘方法和相关算法多并繁杂，造成学生对数据挖掘的整体工作流程缺乏了解形成“不识庐山真面目只缘身在此山中”现象。文中以时间序列服装销售额预测挖掘项目为教学案例让学生首先掌握数据挖掘的标准流程，重点讲解用到的相关挖掘方法和算法及其在实际挖掘环境中的开发方法，达到“会当I临绝顶一览众山小”的教学目标。通过教学实践教学效果良好。

Research on Case Teaching Method for Data Mining Course

Data mining course is a interdiscipline and one of the most important courses for intelligence science. It mainly introduces the basic concept, the principle, method and technology of data mining ,involving multiple disciplines knowledge and algorithm. Being lack of understanding on the overall engineering process of data mining for the students, thus it is very difficult to handle. It presents a case teach ing method, integrating related theory and technology in teaching case, focusing on explaining the use of methods and algorithms for min ing and completing them in SPSS Clementinel2.0 environment. Through teaching practice,the effect of the case teaching is better.