摘要
数据挖掘是一门较新的交叉综合性理论方法体系,近年来发展迅速,应用前景广泛。数据挖掘涉及多门学科,理论方法抽象,不易理解。授课过程中要保证学生掌握相关理论和方法,一方面要增强案例教学,项目分析,把抽象的问题具体化,便于理解和学习;另一方面要通过多种形式让学生动手实践,把理论方法应用于实践活动中,加深课程知识的学习和掌握。
Data mining is a new cross synthesis theory and method system. It has been developing rapidly and has a wide application prospect in recent years. Data mining involves many subjects, and the theories and methods are abstract and difficult to understand. In the teaching process to ensure the students to master the relevant theories and methods, on the one hand to strengthen the case teaching, project analysis, the abstract problems concrete, easy to understand and learn; on the other hand,through various forms for students' practice, the theory is applied in practice, deepen the course knowledge to learn and master.
出处
《科教导刊》
2017年第10Z期114-115,共2页
The Guide Of Science & Education
基金
教育教学改革项目KG-2015-23
KG-2015-24
关键词
项目导入
分层式任务驱动
数据挖掘
project introduction
hierarchical task driven
data mining