keynote lectures

iV2016 - 20^th International Conference Information Visualisation 19 - 22 July 2016 Universidade NOVA de Lisboa ● Lisbon ● Portugal ● http://www.graphicslink.co.uk/IV2016/ http://www.unl.pt/

keynote Lecture> Visualization and Data Mining for High Dimensional Data Alfred Inselberg School of Mathematical Sciences, Tel Aviv University, Israel A dataset with M items has 2M subsets anyone of which may be the one satisfying our objective. With a good data display and interactivity our fantastic pattern-recognition defeats this combinatorial explosion by extracting insights from the visual patterns. This is the core reason for data visualization. With parallel coordinates the search for relations in multivariate data is transformed into a 2-D pattern recognition problem. We illustrate it on several real datasets (financial, process control, credit-score and one with hundreds of variables) with stunning results. A geometric classification algorithm yields the classification rule explicitly and visually. The minimal set of variables, features, are found and ordered by their predictive value. A model of a country economy reveals sensitivities, impact of constraints, trade-offs and economic sectors unknowingly competing for the same resources. An overview of the methodology provides foundational understanding; learning the patterns corresponding to various multivariate relations. These patterns are robust in the presence of errors and that is good news for the applications. A topology of proximity emerges opening the way for visualization in Big Data. KEYWORDS: Exploratory Data Analysis , Classification for Data Mining , Multidimensional Visualization , Parallel Coordinates , Multidimensional/Multivariate Applications Bio-sketch Alfred Inselberg received a Ph.D. in Mathematics and Physics from the University of Illinois (Champaign-Urbana) and was Research Professor there until 1966. He held research positions at IBM, where he developed a Mathematical Model of Ear (TIME Nov. 74), concurrently having joint appointments at UCLA, USC and later at the Technion and Ben Gurion University. Since 1995 he is Professor at the School of Mathematical Sciences at Tel Aviv University. He was elected Senior Fellow at the San Diego Supercomputing Center in 1996, Distinguished Visiting Professor at Korea University in 2008 and Distinguished Visiting Professor at National University of Singapore in 2011. Alfred invented and developed the multidimensional system of Parallel Coordinates for which he received numerous awards and patents (on Air Traffic Control, Collision-Avoidance, Computer Vision, Data Mining). The textbook Parallel Coordinates: VISUAL Multidimensional Geometry and its Applications, Springer (October) 2009, has a full chapter on Data Mining and was acclaimed, among others, by Stephen Hawking.

| TOP |