Statistics Seminar（2014-01）

Topic:Data mining and business analytics with big and small data

Speaker:Johannes Ledolter, University of Iowa

Time:Monday, 23 March, 14:30-16:00

Location:Room 217, Guanghua Building 2

Abstract：In this talk I review useful methods for data mining and business analytics and I describe several applications and case studies where these methods prove useful. But data mining of big “happenstance” data sets may not provide helpful clues as the analyst has a limited role in the data acquisition, and I discuss the importance of collecting data through carefully designed statistical experiments. I also comment on recent degree program initiatives in Business Analytics which combine training in statistics, computer science and machine learning, and target areas of application.

About the speaker：Johannes Ledolter is the C. Maxwell Stanley Professor of Management Sciences at the Tippie College of Business at the University of Iowa and a Professor of Statistics at the Vienna University of Economics and Business. He earned his PhD in Statistics at the University of Wisconsin-Madison. He is an elected Fellow of the American Statistical Association, the International Statistical Institute, and the American Society for Quality. He is interested in the development and application of statistical methods for solving real-world problems.