Title: Granular Box Regression Speaker: Professor Dr Georg Peters, Munich University of Applied Sciences, Munich, Germany Date/Time: Friday, 2 March 2012, 1pm Location: Macquarie University, E6A 357 Abstract: Granular computing (GrC) has gained increasing attention in the past decade. Although not uniquely defined, its basic idea is to approximate detailed machine-like information by a coarser presentation on a human-like level. Within granular computing, the mapping of continuous variables into intervals plays an important role. These intervals are often prerequisites for the formulation of linguistic variables. In this paper, we suggest a piecewise interval approximation and propose granular box regression. Its objective is to establish relationships between independent and dependent variables by multidimensional boxes. We interpret granular box regression as interval regression and show its potential for the extraction of fuzzy rules from data. In two experiments, we apply granular box regression to an artificial as well as to a real dataset in the field of finance and evaluate its properties. Speaker info: Professor Dr Georg Peters received the German diploma M.Sc. degrees in electrical engineering, in industrial engineering and in business administration and the Ph.D. degree in operations research from RWTH Aachen University, Aachen, Germany. He is currently a professor with the Department of Computer Sciences and Mathematics, Munich University of Applied Sciences, Munich, Germany. Prior to his present position, he was with Massey University, New Zealand, and he worked as a Consultant in the telecommunications sector in Germany, South Korea, and Switzerland.