基于需求驱动的数据挖掘课程教学改革研究  

Research on teaching reform of demand-driven data mining course

作　　者：郭岗磊[1] 武苗苗[1] Guo Ganglei;Wu Miaomiao(Zhengzhou Institute of Finance and Economics,Zhengzhou 450000,China)

机构地区：[1]郑州财经学院,河南郑州450000

出　　处：《无线互联科技》2020年第4期85-86,共2页Wireless Internet Technology

摘　　要：随着移动互联网、人工智能、物联网等信息技术的应用,许多行业的数据呈爆炸式增长。挖掘、分析海量数据背后的规律及趋势,已成为当前各行业研究的重点。面对社会发展和学科发展的需要,各高校许多专业开设了数据挖掘课程。然而,学生的基础和专业需求有所不同,有必要重新对课程进行定位、调整课程体系、优化课程内容、转化课程方法,采用多元化的考核形式,全面提升数据挖掘课程的教学质量。文章对此展开了分析。With the application of information technology such as mobile Internet,artificial intelligence,Internet of things and so on,the data of many industries is growing explosively.Finding the laws and trends behind the massive data through mining and analysis has become the focus of current research in various industries.In the face of the needs of social development and discipline development,many majors in colleges and universities have set up data mining courses.However,due to different students’basic and professional needs,it is necessary to re position the course,adjust the course system,optimize the course content,transform the course method,adopt diversified assessment forms,and comprehensively improve the teaching quality of data mining course.This paper analyzes it.

关 键 词：需求驱动 数据挖掘 教学改革 

分 类 号：TP311.13-4[自动化与计算机技术—计算机软件与理论] G642.0[自动化与计算机技术—计算机科学与技术]