Point placement by phylogenetic trees and its application to visual analysis of document collections

Ana María Cuadros Valdivia; Fernando V. Paulovich; Rosane Minghim; Guilherme P. Telles

doi:10.1109/VAST.2007.4389002

Point placement by phylogenetic trees and its application to visual analysis of document collections

Ana María Cuadros Valdivia, Fernando V. Paulovich, Rosane Minghim, Guilherme P. Telles

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

41 Citas (Scopus)

Resumen

The task of building effective representations to visualize and explore collections with moderate to large number of documents is hard. It depends on the evaluation of some distance measure among texts and also on the representation of such relationships in bidimensional spaces. In this paper we introduce an alternative approach for building visual maps of documents based on their content similarity, through reconstruction of phylogenetic trees. The tree is capable of representing relationships that allows the user to quickly recover information detected by the similarity metric. For a variety of text collections of different natures we show that we can achieve improved exploration capability and more clear visualization of relationships amongst documents.

Idioma original	Inglés
Título de la publicación alojada	VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings
Páginas	99-106
Número de páginas	8
DOI	https://doi.org/10.1109/VAST.2007.4389002
Estado	Publicada - 2007
Publicado de forma externa	Sí
Evento	VAST IEEE Symposium on Visual Analytics Science and Technology 2007 - Sacramento, CA, Estados Unidos Duración: 30 oct. 2007 → 1 nov. 2007

Serie de la publicación

Nombre	VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings

Conferencia

Conferencia	VAST IEEE Symposium on Visual Analytics Science and Technology 2007
País/Territorio	Estados Unidos
Ciudad	Sacramento, CA
Período	30/10/07 → 1/11/07

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10.1109/VAST.2007.4389002

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Cuadros Valdivia, A. M., Paulovich, F. V., Minghim, R., & Telles, G. P. (2007). Point placement by phylogenetic trees and its application to visual analysis of document collections. En VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings (pp. 99-106). [4389002] (VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings). https://doi.org/10.1109/VAST.2007.4389002

@inproceedings{56bb812ec0704ea88c374ceda6167040,

title = "Point placement by phylogenetic trees and its application to visual analysis of document collections",

abstract = "The task of building effective representations to visualize and explore collections with moderate to large number of documents is hard. It depends on the evaluation of some distance measure among texts and also on the representation of such relationships in bidimensional spaces. In this paper we introduce an alternative approach for building visual maps of documents based on their content similarity, through reconstruction of phylogenetic trees. The tree is capable of representing relationships that allows the user to quickly recover information detected by the similarity metric. For a variety of text collections of different natures we show that we can achieve improved exploration capability and more clear visualization of relationships amongst documents.",

keywords = "Document analysis, Document visualization, Multidimensional visualization, Phylogenetic trees, Text analytics",

author = "{Cuadros Valdivia}, {Ana Mar{\'i}a} and Paulovich, {Fernando V.} and Rosane Minghim and Telles, {Guilherme P.}",

year = "2007",

doi = "10.1109/VAST.2007.4389002",

language = "Ingl{\'e}s",

isbn = "9781424416592",

series = "VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings",

pages = "99--106",

booktitle = "VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings",

note = "null ; Conference date: 30-10-2007 Through 01-11-2007",

}

Cuadros Valdivia, AM, Paulovich, FV, Minghim, R & Telles, GP 2007, Point placement by phylogenetic trees and its application to visual analysis of document collections. En VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings., 4389002, VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings, pp. 99-106, VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Sacramento, CA, Estados Unidos, 30/10/07. https://doi.org/10.1109/VAST.2007.4389002

Point placement by phylogenetic trees and its application to visual analysis of document collections. / Cuadros Valdivia, Ana María; Paulovich, Fernando V.; Minghim, Rosane et al.

VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings. 2007. p. 99-106 4389002 (VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings).

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Point placement by phylogenetic trees and its application to visual analysis of document collections

AU - Cuadros Valdivia, Ana María

AU - Paulovich, Fernando V.

AU - Minghim, Rosane

AU - Telles, Guilherme P.

PY - 2007

Y1 - 2007

N2 - The task of building effective representations to visualize and explore collections with moderate to large number of documents is hard. It depends on the evaluation of some distance measure among texts and also on the representation of such relationships in bidimensional spaces. In this paper we introduce an alternative approach for building visual maps of documents based on their content similarity, through reconstruction of phylogenetic trees. The tree is capable of representing relationships that allows the user to quickly recover information detected by the similarity metric. For a variety of text collections of different natures we show that we can achieve improved exploration capability and more clear visualization of relationships amongst documents.

AB - The task of building effective representations to visualize and explore collections with moderate to large number of documents is hard. It depends on the evaluation of some distance measure among texts and also on the representation of such relationships in bidimensional spaces. In this paper we introduce an alternative approach for building visual maps of documents based on their content similarity, through reconstruction of phylogenetic trees. The tree is capable of representing relationships that allows the user to quickly recover information detected by the similarity metric. For a variety of text collections of different natures we show that we can achieve improved exploration capability and more clear visualization of relationships amongst documents.

KW - Document analysis

KW - Document visualization

KW - Multidimensional visualization

KW - Phylogenetic trees

KW - Text analytics

UR - http://www.scopus.com/inward/record.url?scp=47349114942&partnerID=8YFLogxK

U2 - 10.1109/VAST.2007.4389002

DO - 10.1109/VAST.2007.4389002

M3 - Contribución a la conferencia

AN - SCOPUS:47349114942

SN - 9781424416592

T3 - VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings

SP - 99

EP - 106

BT - VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings

Y2 - 30 October 2007 through 1 November 2007

ER -

Cuadros Valdivia AM, Paulovich FV, Minghim R, Telles GP. Point placement by phylogenetic trees and its application to visual analysis of document collections. En VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings. 2007. p. 99-106. 4389002. (VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings). doi: 10.1109/VAST.2007.4389002

Point placement by phylogenetic trees and its application to visual analysis of document collections

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