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20171219 林共进:大数据——无关乎数据大小和数据本身,重要的是统计思维
时间:2017-12-11

题目:大数据: 无关乎数据大小和数据本身,重要的是统计思维

主讲:林共进

时间:2017年12月19日  10:30-11:30

地点:明德主楼  1030会议室


摘要:烧一道好菜,你需要三个要素:上好的食材,好用的炊具,以及好的烹饪方法。研究大数据是同样的道理。想做好大数据的工作,你的食材是大数据,你的炊具是计算机,而最重要的烹饪方法则是统计思维。值得一提的是,食材和炊具只要肯花钱都可以买得到,唯有烹饪方法是你的——你必须自己学。本报告将通过几个简单的案例分析,教你烧几道大数据的好菜,并对大数据的未来,尤其是物联网的未来发展,提出一些个人的看法。


简介:Dr. Dennis K. J. Lin is a university distinguished professor of supply chain and statistics at Penn State University.  His research interests are quality assurance, industrial statistics, data mining, and response surface. He has published more than 200 SCI/SSCI papers in a wide variety of journals.  He currently serves or has served as associate editor for more than 10 professional journals and was co-editor for Applied Stochastic Models for Business and Industry. Dr. Lin is an elected fellow of ASA, IMS and ASQ, an elected member of ISI, a lifetime member of ICSA, and a fellow of RSS. He is an honorary chair professor for various universities, including a Chang-Jiang Scholar at Renmin University of China, Fudan University, and National Chengchi University (Taiwan).   His recent awards including, the Youden Address (ASQ, 2010), the Shewell Award (ASQ, 2010), the Don Owen Award (ASA, 2011), the Loutit Address (SSC, 2011), the Hunter Award (ASQ, 2014), and the Shewhart Medal (ASQ, 2015).  Last year, he was awarded the SPES Award at the 2016 Joint Statistical Meeting.