Iowa State Team Is Top U.S. Team in 2013 Data Mining Cup

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Iowa State Team Is Top U.S. Team in 2013 Data Mining Cup

机译：爱荷华州队是2013年数据挖掘杯的美国最佳球队

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A data analytics team in the department of statistics at Iowa State University placed fifth in the 2013 Data Mining Cup (DMC), an international competition hosted by the German data analytics company Prudsys AG and first among all the teams from U.S. institutions. The Iowa State team included six statistics PhD students: Cory Lanker, Fangfang Liu, Jia Liu, Ian Mouzon, Wei Zhang, and (team leader) Wen Zhou. Their participation in the 2013 DMC was motivated by their interest in applying material from a doctoral-level course in machine learning to a large real predictive analytics problem. The course, taught by Steve Vardeman, covers such topics as linear methods of prediction and classification, basis expansions and regularization, kernel smoothing methods, variance-bias trade-offs, inference and model averaging, additive models and trees, boosting, neural nets, support vector machines, prototype methods, unsupervised learning, random forests, and ensemble learning.

机译：爱荷华州立大学统计系的数据分析团队在2013年数据挖掘杯（DMC）上排名第五，这是由德国数据分析公司Prudsys AG主办的国际竞赛，在美国机构的所有团队中排名第一。爱荷华州立大学的团队包括六名统计学博士生：Cory Lanker，刘芳芳，刘佳，Ian Mouzon，张炜和（团队负责人）温州。他们参加2013 DMC的动机是，他们有兴趣将机器学习的博士学位课程的材料应用于大型实际的预测分析问题。该课程由史蒂夫·瓦尔德曼（Steve Vardeman）教授，涵盖以下主题：预测和分类的线性方法，基础扩展和正则化，核平滑方法，方差-偏折，推理和模型平均，加性模型和树，增强，神经网络，支持向量机，原型方法，无监督学习，随机森林和集成学习。

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《AMSTAT news》 |2013年第436期|32-33|共2页
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Iowa State Team Is Top U.S. Team in 2013 Data Mining Cup

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