10027/10629 Tuan Nhon Dang Tuan Nhon Dang Anushka Anand Anushka Anand Leland Wilkinson Leland Wilkinson TimeSeer: Scagnostics for High-Dimensional Time Series University of Illinois at Chicago 2013 Scagnostics Scatterplot matrix High-Dimensional Visual Analytics Multiple Time Series 2013-11-22 00:00:00 Journal contribution https://indigo.uic.edu/articles/journal_contribution/TimeSeer_Scagnostics_for_High-Dimensional_Time_Series/10772918 We introduce a method (Scagnostic time series) and an application (TimeSeer) for organizing multivariate time series and for guiding interactive exploration through high-dimensional data. The method is based on nine characterizations of the 2D distributions of orthogonal pairwise projections on a set of points in multidimensional Euclidean space. These characterizations include measures, such as, density, skewness, shape, outliers, and texture. Working directly with these Scagnostic measures, we can locate anomalous or interesting sub-series for further analysis. Our application is designed to handle the types of doubly-multivariate data series that are often found in security, financial, social, and other sectors.