报告题目： Big Data Fusion Techniques  and Applications ABSTRACT

报 告 人： Professor Xue Li （李雪）

报告时间：2016年3月29日（周二）10:00

报告地点：太阳集团官网楼113会议室

报告简介：

A successful prediction of 2012 USA Presidential Election with 99% accuracy by Mr Nate Silver has shown that the challenges are not just to invent new algorithms to deal with large, noisy, and uncertain data, but to link the multiple relevant data sources, structured or unstructured, together to make effective recommendations. Information is now available everywhere from the Web, sensor networks, social networks, or the proprietary databases. Consequently, making effective and efficient recommendations based on big data is becoming a significant and urgent challenge because of complex, fast changing relationships between data objects. Therefore, the question is: how can we make effective recommendations based on the relevant information collected from high-speed, time-variant, high-dimensional, and distributed data sources in the current changing and interconnected world?  This talk will introduce current techniques used in big data analytics and provide insight into the issues of the current big data applications. 

报告人简介：

Dr Xue Li is a Professor in DKE (Data and Knowledge Engineering) Division, School of Information Technology and Electrical Engineering, the University of Queensland in Australia. He obtained a BSc in Computer Science in Chongqing University, China in 1982, an MSc in the University of Queensland in 1989, and a PhD in Information Systems in QUT 1997. His research interests are in data mining, intelligent information systems, and social computing. He has over 160 publications as monograph, edited books, book chapters, and journal and conference papers.  He led his research team won prizes awarded by Google, Microsoft, International conferences, and the Australian Government in recent years. He is recognized as one of the Top-50 “Most Powerful People in Australia” in 2015 by Australian Financial Review. Prof Xue Li has successfully supervised 15 PhD students to completion as their Principal Supervisor.  He is currently a Chief Investigator for three Australian Research Council (ARC) Funding Projects. He is an Associate Editor of Journal of Advanced Internet of Things.

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