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 congresoContribución a la conferenciarevisión 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 originalInglés
Título de la publicación alojadaVAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings
Páginas99-106
Número de páginas8
DOI
EstadoPublicada - 2007
Publicado de forma externa
EventoVAST IEEE Symposium on Visual Analytics Science and Technology 2007 - Sacramento, CA, Estados Unidos
Duración: 30 oct. 20071 nov. 2007

Serie de la publicación

NombreVAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings

Conferencia

ConferenciaVAST IEEE Symposium on Visual Analytics Science and Technology 2007
País/TerritorioEstados Unidos
CiudadSacramento, CA
Período30/10/071/11/07

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