摘要
数据挖掘课程是统计学与计算机科学等多个学科交叉融合的课程,对其的学习掌握有助于提高学生处理海量数据和分析问题、解决问题的能力,增强学生的市场竞争力,满足大数据时代下对数据分析人才的需求。文章结合作者多年的数据挖掘课程教学,从教学改革意义,教学现状出发,从理论教学和实践教学方面展开教学改革探索,给出一些教学改革建议。
The course of data mining is an intersection course which includes statistics, computer science, and so on. It is helpful to improve the students＇ ability to deal with mass data and solve problems, enhance their market competitiveness and meet the needs of data analysis talents in the era of large data. Combined with the author＇s years of data mining course teaching, generated from the significance of teaching reform and the present teaching situation, this paper explores the teaching reform from the aspects of theoretical and practical teaching, and gives some teaching reform suggestions.
出处
《科技创新导报》
2018年第12期226-226,228,共2页
Science and Technology Innovation Herald
关键词
数据挖掘
案例分析
实践教学
Data mining
Case analysis
Practice teaching
