Guided Visual Analysis of Multivariate Time Series

Flor de Luz Palomino Valdivia, Herwin Alayn Huillcen Baca, Ana María Cuadros Valdivia

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Time series analysis examines the behavior of data over time. Many papers analyze single variable patterns and trends. However, few proposals have been made for analyzing various variables; this is because when the complexity of the analysis increases, the time series are not easy to understand due to their dynamic and heterogeneous nature. We can resort to Visual Analytics, which transforms complex data into simple graphs, which not only support the exploration of multivariate patterns but also assist the user in understanding found patterns. However, as the set of multivariate time series grows, the analysis methods become increasingly complex, making it difficult to obtain knowledge. In this way, we propose a new approach to visual analysis based on guides and oriented to multivariate time series, which reduces the complexity in the analysis process through guidance and direction guides. An interactive visualization tool was implemented using guides called VisWeb, which integrates the proposed guides with Visual Analysis techniques. For optimal visual analysis of multivariate time series with guides and to demonstrate the reduction of complexity, four questions were posed, designed by the domain expert, referring to the workflow of tasks, task guide, history of the sequence of steps, and limitation of visual space. The results showed that the proposed approach adequately satisfies the questions posed, allowing a reduction in complexity.

Idioma originalInglés
Título de la publicación alojadaAdvances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC
EditoresKohei Arai
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas247-262
Número de páginas16
ISBN (versión impresa)9783030980115
DOI
EstadoPublicada - 2022
Publicado de forma externa
EventoFuture of Information and Communication Conference, FICC 2022 - Virtual, Online
Duración: 3 mar. 20224 mar. 2022

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen438 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaFuture of Information and Communication Conference, FICC 2022
CiudadVirtual, Online
Período3/03/224/03/22

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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