Sequencing Of Categorical Time Series
2015 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY(2015)
摘要
Exploring and comparing categorical time series and finding temporal patterns are complex tasks in the field of time series data mining. Although different analysis approaches exist, these tasks remain challenging, especially when numerous time series are considered at once. We propose a visual analysis approach that supports exploring such data by ordering time series in meaningful ways. We provide interaction techniques to steer the automated arrangement and to allow users to investigate patterns in detail.
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关键词
H.5.2 [Information Interfaces and Presentation]: User Interfaces-Graphical user interfaces (GUI),I.5.3 [Clustering]: Algorithm-Similarity measures
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