Title：Grey Models and Data Analytics

Abstract：

      Grey data analysis primarily focuses on limited and poor data, and big data technology takes big and complete data as its main target.  The two models are relatively separate from each other.
 In this talk, we will look at how we can apply grey models into big data analysis so as to bring them together.  A conceptual framework in applying grey model to data analytics is presented.
Speecher：Yingjie Yang
Date/Time：3.18 19:40-20:40
Location:Jiangjun Rd. Campus  R10302

Brief introduction of the speecher ：
      Yingjie Yang received the B.Sc. (Hons.), M.Sc. and Ph.D. degrees in engineering from Northeastern University, Shenyang, China, in 1987, 1990, and 1994, respectively.  He was awarded his PhD degree in computer science at Loughborough University, Loughborough, U.K., in 2008.
He is currently a professor of computational intelligence in the Institute of Artificial Intelligence at De Montfort University, Leicester, U.K. He has published over 160 papers on grey systems, fuzzy sets, rough sets, neural networks and their applications to civil engineering, transportation and environmental engineering. His research interests include the representation and modelling of various uncertainties and the application of computational intelligence to engineering problems.
      Prof. Yang is a senior member of IEEE Systems, Man and Cybernetics Society, a co-chair of IEEE SMC Technical Committee on Grey Systems, the executive president of the International Association on Grey Systems and Uncertainty Analysis and a member of Rail Research UK Association. He is serving as associate editor for 4 academic journals including IEEE Transaction on Cybernetics.  He has served as a PC member for over 100 international conferences.