数据挖掘课程教学模式改革与探索

Reform and Exploration on the Teaching Mode of the Da⁃ta Mining Course

数据挖掘课程内容复杂抽象,各个章节之间独立性较强,传统的课堂教学方法无法指导实际问题的解决,且验证性实验较难开展。针对这些问题,该文提出以实际案例为导向,通过案例讲解辅助教学,从课堂讲授和实际数据集实验两个方向开展教学活动,并结合具体的项目实践,介绍数据挖掘方法的应用局限性,旨在培养学生独立思考和解决问题的能力,以此改进数据挖掘课程的教学模式。

The content of the data mining course is complex and abstract, and the chapters are highly independent. There is a gap between traditional classroom teaching methods and actual problem-solving methods, and it is difficult to conduct verification experiments. To address these problems, in this paper, we propose to assist teaching content by taking actual cases as the guidance and explaining algorithms through cases, conduct teaching activities from two directions of classroom lectures and actual data set experiments. Combining specific project practice,and guiding the application limitations of data mining methods,we encourage students to think and solve problems independently, and improve the teaching mode of the data mining course.