6月26日学术报告( Prof. Jiuyong Li ,University of South Australia :

6月26日学术报告( Prof. Jiuyong Li ,University of South Australia :

类别：网络整理发布人：admin 浏览次数：次发布时间：2015-09-02 14:24

报告题目：Causal analysis for association discovery

报告日期及时间：2015年6月26日上午10点

报告地点：外围投注365B403

报告人： Prof. Jiuyong Li

报告人国籍：澳大利亚

报告人单位：University of South Australia

报告人简介：Dr Jiuyong Li is a Professor and an associate Head of School at the School of Information Technology and Mathematical Sciences
of University of South Australia. He leads the Data Analytics Group in the School. His main research interests are in data mining,
bioinformatics, and data privacy. He has led multiple Australian Research Council Discovery projects. He has published more
than 100 papers, mostly in leading journals and conferences in the areas. His software tools have been used in several real world
projects. He has been chair (and PC chair) of Australasian Data Mining Conference and Australasian Joint Conference on
Artificial Intelligence. He has received senior visiting fellowships from Nokia Foundation, the Australian Academy of Science,
and Japan Society of Promotion of Science.

报告摘要：
Association analysis is an important technology in data mining, and has been widely used in many application areas. However,
associations in data can be spurious and they do not indicate causal-effect relationships that are ultimate goals for many scientific explorations and social studies. While the techniques for association discovery become mature, the problem for identifying
non-spurious associations becomes prominent. In this talk, I will discuss two methods for testing causal effect relationships rooted in statistical analysis and the use of them for filtering non-causal associations in association discovery. The first method uses the Mantel and Haenszel test for partial association, and the second method uses a cohort study approach. I will also
discuss the implementation issues in large data sets for combining relationship exploration and evaluation.

邀请人：宋伟副教授，彭智勇教授

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