@InProceedings{AlencarOliPauMinAnd:2007:SiViTi,
author = "Alencar, Aretha Barbosa and Oliveira, Maria Cristina Ferreira de
and Paulovich, Fernando Vieira and Minghim, Rosane and Andrade,
Marinho Gomes de",
affiliation = "{Universidade de S{\~a}o Paulo} and {Universidade de S{\~a}o
Paulo} and {Universidade de S{\~a}o Paulo} and {Universidade de
S{\~a}o Paulo} and {Universidade de S{\~a}o Paulo}",
title = "Temporal-PEx: similarity-based visualization of time series",
booktitle = "Proceedings...",
year = "2007",
editor = "Gon{\c{c}}alves, Luiz and Wu, Shin Ting",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20.
(SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "data visualization, time series.",
abstract = "Time series analysis poses many challenges to professionals in a
wide range of domains. Several visualization solutions integrated
with mining algorithms have been proposed for exploratory tasks on
time series collections. As the data sets grow large, though, the
visual alternatives do not allow for a good association between
similar time series. In this paper we introduce a visual
representation or large time series data sets generated by
multidimensional projections based on distance measures.",
conference-location = "Belo Horizonte, MG, Brazil",
conference-year = "7-10 Oct. 2007",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/Rv4gi",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/Rv4gi",
targetfile = "TemporalPEx.pdf",
urlaccessdate = "2025, Feb. 09"
}