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Undergraduate research experiences in data mining

机译:数据挖掘方面的本科研究经验

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摘要

The new interdisciplinary field of Data Mining emerged in the early 1990s as a response to the profusion of digital data generated in numerous fields such as biology, chemistry, astronomy, advertising, banking and finance, retail market, stock market, and the WWW. In this paper, I describe an undergraduate course in Data Mining offered at the College of Saint Benedict and Saint John's University in Spring of 2007 as a CSCI-317-upper-division "Topics in Computer Science"- course, entitled "Data Intelligence." One of the main objectives of the course was to engage students in experimental computing research through a number of carefully planned research activities resulting in better understanding of the course contents and deeper insights into the challenges faced by the data mining community.

机译:

数据挖掘的新跨学科领域出现于1990年代初,是对生物学,化学,天文学,广告,银行和金融,零售市场,股票市场以及万维网。在本文中,我描述了2007年春季在圣本尼迪克特大学和圣约翰大学开设的数据挖掘本科课程,称为CSCI-317上层“计算机科学概论”课程,名为“数据智能”。 ”该课程的主要目标之一是通过一系列精心计划的研究活动,使学生参与实验计算研究,从而更好地理解课程内容,并对数据挖掘社区所面临的挑战有更深入的了解。

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