Publication:
A Visual Analytics Approach for Exploration of High-Dimensional Time Series Based on Neighbor-Joining Tree Actualizado
A Visual Analytics Approach for Exploration of High-Dimensional Time Series Based on Neighbor-Joining Tree Actualizado
| dc.contributor.advisor | Figueroa Malaver, Eduardo | |
| dc.contributor.advisor | Martínez Salazar, Benito | |
| dc.contributor.author | Roberto Rodríguez Urquiaga | |
| dc.contributor.author | Reynaldo Alfonte Zapana | |
| dc.contributor.author | Ana Maria Cuadros Valdivia | |
| dc.contributor.corporatename | Pontificia Universidad Católica del Perú IQ | |
| dc.contributor.corporatename | Universidad de Lima IQ | |
| dc.contributor.editor | Salazar Ulártegui, José | |
| dc.contributor.editor | Cáceres Maldonado, Mauricio | |
| dc.contributor.editorou | Universidad de Lima IQ | |
| dc.contributor.editorou | Pontificia Universidad Católica de Lima IQ | |
| dc.date.accessioned | 2025-06-20T13:53:23Z | |
| dc.date.available | 2025-06-20T13:53:23Z | |
| dc.date.issued | 2018-03-02 | |
| 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 Actualizado. | |
| dc.description.abstract | 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. © 2018 Association for Computing Machinery. | |
| dc.description.sponsorship | The authors would like to thank CONCYTEC (Consejo Nacional de Ciencia, Tecnología e Innovacíón Tecnológica) | |
| dc.description.sponsorship | FONDECYT (Fondo Nacional de Desarrollo Científico y Tecnológico) and UNSA (Universidad Nacional SanAgustín) of Perú. | |
| dc.identifier.doi | 10.1145/3177457.3177466 | |
| dc.identifier.isbn | 978145000333 | |
| dc.identifier.isbn | 978145000300 | |
| dc.identifier.issn | 1212-2323 | |
| dc.identifier.issn | 2355-5533 | |
| dc.identifier.pmid | 30396333 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049863164&doi=10.1145%2f3177457.3177466&partnerID=40&md5=e1079a2e8febb9c5c076632400fc7af1 | |
| dc.identifier.uri | https://dev2-repositorio.concytec.gob.pe/handle/123456789/3966 | |
| dc.language.iso | es | |
| dc.language.iso | en_US | |
| dc.publisher | Association for Computing Machinery 333 | |
| dc.relation.isbn | 9852154785333 | |
| dc.relation.ispartof | Proceedings of the 10th International Conference on Computer Modeling and Simulation 333 | |
| dc.relation.ispartofseries | Fuente IQ 333 | |
| dc.relation.issn | 1256-1333 | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.1/ | |
| dc.subject | Bioinformatics | |
| dc.subject | Data visualization | |
| dc.subject | Forestry | |
| dc.subject | Joining | |
| dc.subject | Time series | |
| dc.subject | Visualization | |
| dc.subject | Dimension reduction techniques | |
| dc.subject | Exploratory analysis | |
| dc.subject | Interaction mechanisms | |
| dc.subject | Neighbor joining | |
| dc.subject | Similarity measure | |
| dc.subject | Visual analytics | |
| dc.subject | Visual techniques | |
| dc.subject | Time series analysis | |
| dc.subject.ddc | 620 | |
| dc.subject.ddc | 333 | |
| dc.subject.loc | LC620 | |
| dc.subject.loc | LC333 | |
| dc.subject.mesh | M620 | |
| dc.subject.mesh | M333 | |
| dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#1.02.03 | |
| dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#1.02.02 | |
| dc.title | A Visual Analytics Approach for Exploration of High-Dimensional Time Series Based on Neighbor-Joining Tree Actualizado | |
| dc.title.alternative | Publicación para Actualizar 333 | |
| dc.title.alternative | Publicación IQ 333 | |
| dc.type | http://purl.org/coar/resource_type/c_2f33 | |
| dspace.entity.type | Publication | |
| oaire.citation.edition | 2da. Ed. | |
| oaire.citation.endPage | 128 | |
| oaire.citation.issue | 2 | |
| oaire.citation.number | 4 | |
| oaire.citation.startPage | 123 | |
| oaire.citation.volume | 13 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| oairecerif.access.embargoEnd | 2018-10-01 | |
| oairecerif.editor.affiliation | Pontificia Universidad Católica del Perú IQ | |
| oairecerif.editor.affiliation | Universidad de Lima IQ | |
| perucris.advisor.dni | 71258474 | |
| perucris.advisor.dni | 33333333 | |
| perucris.advisor.orcid | 0081-0091-0025-0085 | |
| perucris.advisor.orcid | 0025-0091-2589-3333 | |
| perucris.editor.dni | 45879631 | |
| perucris.editor.dni | 34587962 | |
| perucris.editor.orcid | 0112-0221-0331-0442 | |
| perucris.editor.orcid | 1155-2233-5544-5896 | |
| renati.discipline | Programa de Actualización 1-333 | |
| renati.discipline | Programa de Actualización 2-333 | |
| renati.juror | Mendoza Tomaylla, Jean Pierre | |
| renati.juror | Hurtado Báez, Juan Manuel | |
| renati.level | https://purl.org/pe-repo/renati/nivel#bachiller | |
| renati.type | https://purl.org/pe-repo/renati/type#trabajoDeInvestigacion | |
| thesis.degree.discipline | P333 | |
| thesis.degree.discipline | P333-001 | |
| thesis.degree.grantor | Universidad de Lima IQ | |
| thesis.degree.name | Maestría IQ-333 | |
| thesis.degree.name | Maestría IQ2-333 |