A visual analytics approach for exploration of high-dimensional time series based on Neighbor-Joining Tree

Roberto Rodríguez; Reynaldo Alfonte; Ana María Cuadros Valdivia

doi:10.1145/3177457.3177466

A visual analytics approach for exploration of high-dimensional time series based on Neighbor-Joining Tree

Roberto Rodríguez, Reynaldo Alfonte, Ana María Cuadros Valdivia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

High-dimensional time series analysis through visual techniques poses many challenges due to the visualization solutions proposed until now for exploratory tasks are not well-oriented to high volume of data. When the data sets grow large, the visual alternatives do not allow for a good association between similar time series. With the aim to increase more alternatives, we introduce a visual analytic approach based on Neighbor-Joining similarity tree. The proposed approach internally consists of five time series dimension reduction techniques widely used, two wellknown similarity measures and interaction mechanisms to do exploratory analysis of high-dimensional time series data interactively.

Original language	English
Title of host publication	Proceedings of the 10th International Conference on Computer Modeling and Simulation, ICCMS 2018
Publisher	Association for Computing Machinery
Pages	44-48
Number of pages	5
ISBN (Electronic)	9781450363396
DOIs	https://doi.org/10.1145/3177457.3177466
State	Published - 8 Jan 2018
Externally published	Yes
Event	10th International Conference on Computer Modeling and Simulation, ICCMS 2018 - Sydney, Australia Duration: 8 Jan 2018 → 10 Jan 2018

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	10th International Conference on Computer Modeling and Simulation, ICCMS 2018
Country/Territory	Australia
City	Sydney
Period	8/01/18 → 10/01/18

Bibliographical note

Funding Information:
The authors would like to thank CONCYTEC (Consejo Nacional de Ciencia, Tecnología e Innovacíón Tecnológica), FONDECYT (Fondo Nacional de Desarrollo Científico y Tecnológico) and UNSA (Universidad Nacional SanAgustín) of Perú.

Publisher Copyright:
© 2018 Association for Computing Machinery.

Keywords

High dimensional
Neighbor-Joining Tree
Time series
Visual analytics

Access to Document

10.1145/3177457.3177466

Cite this

Rodríguez, R., Alfonte, R., & Cuadros Valdivia, A. M. (2018). A visual analytics approach for exploration of high-dimensional time series based on Neighbor-Joining Tree. In Proceedings of the 10th International Conference on Computer Modeling and Simulation, ICCMS 2018 (pp. 44-48). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3177457.3177466

Rodríguez, Roberto ; Alfonte, Reynaldo ; Cuadros Valdivia, Ana María. / A visual analytics approach for exploration of high-dimensional time series based on Neighbor-Joining Tree. Proceedings of the 10th International Conference on Computer Modeling and Simulation, ICCMS 2018. Association for Computing Machinery, 2018. pp. 44-48 (ACM International Conference Proceeding Series).

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Rodríguez, R, Alfonte, R & Cuadros Valdivia, AM 2018, A visual analytics approach for exploration of high-dimensional time series based on Neighbor-Joining Tree. in Proceedings of the 10th International Conference on Computer Modeling and Simulation, ICCMS 2018. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 44-48, 10th International Conference on Computer Modeling and Simulation, ICCMS 2018, Sydney, Australia, 8/01/18. https://doi.org/10.1145/3177457.3177466

A visual analytics approach for exploration of high-dimensional time series based on Neighbor-Joining Tree. / Rodríguez, Roberto; Alfonte, Reynaldo; Cuadros Valdivia, Ana María.

Proceedings of the 10th International Conference on Computer Modeling and Simulation, ICCMS 2018. Association for Computing Machinery, 2018. p. 44-48 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Rodríguez R, Alfonte R, Cuadros Valdivia AM. A visual analytics approach for exploration of high-dimensional time series based on Neighbor-Joining Tree. In Proceedings of the 10th International Conference on Computer Modeling and Simulation, ICCMS 2018. Association for Computing Machinery. 2018. p. 44-48. (ACM International Conference Proceeding Series). doi: 10.1145/3177457.3177466

A visual analytics approach for exploration of high-dimensional time series based on Neighbor-Joining Tree

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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