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大数据环境下的数据挖掘课程教学探索 被引量:26

Teaching exploration of data mining in big data environment
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摘要 近年来,大数据引起了各界相关部门的高度关注,中科院和各高校开始重视该方向的教学和研究。针对目前大数据带来的社会影响力,根据大数据具体特性以及数据挖掘学科交叉性强的特点,结合实际教学经验,分别从培养数据意识、加强理论体系、创新教学方法和深入科学研究等四个方面来探索如何设计高校数据挖掘课程,以解决大数据时代下数据挖掘课程因抽象而带来的问题,为培养优秀的大数据研究人才奠定理论基础。 Recently, big data attract great attention from different departments. Chinese academy of sciences and universities also pay attention to the teaching and research of this direction. In this paper, in terms of the influence of big data, the special characters of big data and the strong interdisciplinary of data mining subject, the problem that how to design the curriculum of data mining in universities is explored from the aspects such as cultivating data consciousness, enhancing theory system, innovating teaching strategy and lucubrating scientific research, which provides the methods of curriculum design to resolve the trouble caused by the course abstraction of data mining in the big data environment and to improve the teaching quality. It also provides the theoretical basis and technical support for cultivating the excellent talents of big data.
作者 李海林
出处 《计算机时代》 2014年第2期54-55,共2页 Computer Era
关键词 大数据 数据挖掘 教学方法 人才培养 big data data mining teaching strategy talent cultivation
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