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大数据背景下的数据挖掘课程教学新思考
引用本文:张,艳.大数据背景下的数据挖掘课程教学新思考[J].计算机时代,2014(4):59-61.
作者姓名:  
作者单位:上海理工大学光电信息与计算机工程学院,上海200093
摘    要:当今社会已经步入大数据时代,数据挖掘已经成为商业、医疗、制造业和政务管理等应用领域的重要技术,具有十分重要的社会价值。数据挖掘课程综合了多门学科知识,其教学设计和教学方式直接影响到教学效果和人才培养的质量。针对大数据的特点,以构建课程核心知识体系为主题,采用案例教学法,改革传统的教学评价方式,理论结合实践进行了研究生数据挖掘课程教学创新尝试,其教学达到了预期效果,受到学生好评。

关 键 词:数据挖掘  知识体系  案例教学  教学评价

New teaching thought for data mining course in the era of big data
Zhang Yan.New teaching thought for data mining course in the era of big data[J].Computer Era,2014(4):59-61.
Authors:Zhang Yan
Affiliation:Zhang Yan (School of Optical-Electrical and Computer Engineering of University of Shanghai for Science and Technology, Shanghai 200093, China)
Abstract:With the advent of the era of big data, data mining has become an essential technology which has important social value in the field of business, healthcare, manufacture and administrative management, etc. In many universities, the course of data mining is an important course which is integrated with other disciplinary knowledge and plays an important role in talent cultivation. According to the characters of big data, the knowledge hierarchy data mining is presented, and case teaching and new teaching evaluation method in graduate students' data mining course are discussed. The result shows that the effect is good and it is welcomed by graduate students.
Keywords:data mining  knowledge hierarchy  case teaching  teaching evaluation
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