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

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dc.contributor.author Rodríguez R. es_PE
dc.contributor.author Alfonte R. es_PE
dc.contributor.author Cuadros A.M. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2018
dc.description 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.
dc.description.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 well-known similarity measures and interaction mechanisms to do exploratory analysis of high-dimensional time series data interactively.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1145/3177457.3177466
dc.identifier.isbn 9781450363396
dc.identifier.scopus 2-s2.0-85049863164
dc.identifier.uri https://hdl.handle.net/20.500.12390/528
dc.language.iso eng
dc.publisher Association for Computing Machinery
dc.relation.ispartof ACM International Conference Proceeding Series
dc.rights info:eu-repo/semantics/openAccess
dc.subject Visualization
dc.subject Data visualization es_PE
dc.subject Forestry es_PE
dc.subject Time series es_PE
dc.subject Dimension reduction techniques es_PE
dc.subject Exploratory analysis es_PE
dc.subject High-dimensional es_PE
dc.subject Interaction mechanisms es_PE
dc.subject Neighbor joining es_PE
dc.subject Similarity measure es_PE
dc.subject Visual analytics es_PE
dc.subject Visual techniques es_PE
dc.subject Time series analysis es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#2.02.04
dc.title A visual analytics approach for exploration of high-dimensional time series based on Neighbor-Joining Tree
dc.type info:eu-repo/semantics/conferenceObject
dspace.entity.type Publication
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
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