Visual Analysis of Periodic Time Series Data - Supporting Model Selection, Prediction, Imputation, and Outlier Detection Using Visual Analytics

Markus Bögl
Time series data are essential in many fields, like economics, natural sciences, and medicine, to name a few. Measuring and recording these data allow us to document, analyze, and make decisions. One of the most natural structures in time series across all areas is periodicity, which stems from either the natural phenomena measured or the underlying calendar structure. One finds the structural property of time in many of these time series by periodic reoccurrences. In...
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