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.