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Type: Artigo
Title: TV-MV analytics : a visual analytics framework to explore time-varying multivariate data
Author: Soriano-Vargas, Aurea
Hamann, Bernd
Oliveira, Maria Cristina F de
Abstract: We present an integrated interactive framework for the visual analysis of time-varying multivariate data sets. As part of our research, we performed in-depth studies concerning the applicability of visualization techniques to obtain valuable insights. We consolidated the considered analysis and visualization methods in one framework, called TV-MV Analytics. TV-MV Analytics effectively combines visualization and data mining algorithms providing the following capabilities: (1) visual exploration of multivariate data at different temporal scales, and (2) a hierarchical small multiples visualization combined with interactive clustering and multidimensional projection to detect temporal relationships in the data. We demonstrate the value of our framework for specific scenarios, by studying three use cases that were validated and discussed with domain experts
Subject: Variação temporal
Análise de dados
Country: Reino Unido
Editor: Sage
Rights: Fechado
Identifier DOI: 10.1177/1473871619858937
Date Issue: Jan-2020
Appears in Collections:IC - Artigos e Outros Documentos

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