Visual exploration of frequent patterns in multivariate time series

Abstract

The detection of frequently occurring patterns, also called motifs, in data streams has been recognized as an important task. To find these motifs, we use an advanced event encoding and pattern discovery algorithm. As a large time series can contain hundreds of motifs, there is a need to support interactive analysis and exploration. In addition, for certain… (More)
DOI: 10.1177/1473871611430769

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