Exploring and visualizing temporal relations in multivariate time series

This paper introduces an approach to analyzing multivariate time series (MVTS) data through progressive temporal abstraction of the data into patterns characterizing the behavior of the studied dynamic phenomenon. The paper focuses on two core challenges: identifying basic behavior patterns of indiv...

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Bibliographic Details
Main Authors: Gota Shirato, Natalia Andrienko, Gennady Andrienko
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Visual Informatics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2468502X23000396