A Tutorial Introduction to High Performance Analytics Session: M05: A Tutorial Introduction to High Performance Analytics Event Type: Tutorial Time: 8:30am - 5:00pm Speaker(s): Robert L Grossman, Vipin Kumar, Steve Eick Location: 608 Abstract: Data mining is the semi-automatic discovery of patterns, associations, changes, anomalies, and statistically significant structures and events in data. Traditional data analysis is assumption driven in the sense that a hypothesis is formed and validated against the data. Data mining, in contrast, is discovery driven in the sense that patterns are automatically extracted from data. More generally, analytics involves the exploration and analysis of data. The goal of the tutorial is to provide researchers, practitioners, and advanced students with an introduction to data mining, and, more generally, high performance analytics. The focus will be on basic techniques and algorithms appropriate for exploring, mining, analyzing and visualizing massive data sets and high performance data streams using techniques from high performance computing. The tutorial will be illustrated with several case studies involving scientific, engineering, and business data. Introductory: 50% Intermediate: 25% Advanced: 25% Chair/Speaker Details: Robert L Grossman U of Illinois at Chicago/Open Data Partners Vipin Kumar U of Minnesota Steve Eick U of Illinois at Chicago