Timeseer: detecting interesting distributions in multiple time series data

Authors:
Tuan Nhon Dang;Leland Wilkinson
Affiliations:
University of Illinois at Chicago;University of Illinois at Chicago
Venue:
Proceedings of the 5th International Symposium on Visual Information Communication and Interaction
Year:
2012

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Abstract

Widespread interest in features and trends in time series has generated a need for interactive tools that support discovering unusual events in time series. In this paper, we introduce an application (TimeSeer) for guiding interactive exploration through high-dimensional data. Our application is designed to handle the types of doubly-multivariate data series by working directly on noteworthy features such as density, skewness, shape, outliers, and texture.