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An extensible coordination model for coordinated and multiple views and approaches to aid the visual analysis process


Following the FAPESP's recommendations of sending distinct proposals in a unique one, this project presents two works. The first proposal aims at adapting the coordination model developed in the main researcher doctored. Distinct visual techniques can be simultaneously employed to explore datasets. To that, coordination techniques can be used to facilitate the exploration and avoid the overload that the user suffers in context changing among distinct visualization techniques. In the main researcher's doctored was proposed a model which was developed based on a tool known as Projection Explorer (PEx), what complicates its extension to other systems. As a result of this project, we intend to make available an extensible coordination model, which can be easily used by any system that needs to employ coordination mechanisms among multiple views. In the way of this proposal related to coordination, we also intend to develop a software architecture to support remote coordination among multiple views, enabling the collaboration among researches. Additionally, we will adapt one coordination technique to document collection exploration for generating semantic maps to highlight more documents of interest. Hence, an ontology will be employed for the step of creating a mapping among views. The second proposal is related to mechanisms to improve the visual analysis of datasets, in which intend to improve the dataset analyses by means of a hybrid visualization approach, by mixing two visualization techniques into a unique view: one technique to highlight the relationship among instances (e.g., multidimensional projection) and other to highlight the relationship among instance attributes (e.g., parallel coordinates). (AU)

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DIAS ANDREOTTI, ANDRE LUIZ; SILVA, LENON FACHIANO; ELER, DANILO MEDEIROS. Hybrid Visualization Approach to Show Documents Similarity and Content in a Single View. INFORMATION, v. 9, n. 6, . (13/03452-0)
DE PAULA RODRIGUES, GUSTAVO ELOI; MARCILIO JUNIOR, WILSON ESTECIO; ELER, DANILO MEDEIROS; IEEE. Data Classification: Dimensionality Reduction Using Combined and Non-Combined Multidimensional Projection Techniques. 2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), v. N/A, p. 6-pg., . (13/03452-0, 16/11707-6)
ELER, DANILO MEDEIROS; GROSA, DENILSON; POLA, IVES; GARCIA, ROGERIO; CORREIA, RONALDO; TEIXEIRA, JAQUELINE. Analysis of Document Pre-Processing Effects in Text and Opinion Mining. INFORMATION, v. 9, n. 4, . (13/03452-0)
ELER, MARCELO MEDEIROS; ENDO, ANDRE TAKESHI; DURELLI, VINICIUS H. S.; ELER, DANILO MEDEIROS; IEEE. On How Characteristics that Hinder Test Data Generation Using Symbolic Execution Combine: An Analysis of the SF100 Benchmark. PROCEEDINGS OF THE 2016 35TH INTERNATIONAL CONFERENCE OF THE CHILEAN COMPUTER SCIENCE SOCIETY (SCCC), v. N/A, p. 6-pg., . (14/08713-9, 13/03452-0)

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