most citedLarge Graph Analysis in the GMine System

29 citations · 69 across the 8 of their papers we have counts for

collaborators

8 papers

cs.GR2021★ 10 cited

ExplorerTree: a focus+context exploration approach for 2D embeddings

Wilson E. Marcílio-Jr, Danilo M. Eler, Fernando V. Paulovich +2

In exploratory tasks involving high-dimensional datasets, dimensionality reduction (DR) techniques help analysts to discover patterns and other useful information. Although scatter…

cs.CV2015★ 7 cited

Techniques for effective and efficient fire detection from social media images

Marcos Bedo, Gustavo Blanco, Willian Oliveira +5

Social media could provide valuable information to support decision making in crisis management, such as in accidents, explosions and fires. However, much of the data from social m…

cs.GR2015★ 10 cited

Combining Visual Analytics and Content Based Data Retrieval Technology for Efficient Data Analysis

Jose Rodrigues, Luciana Romani, Agma Traina +1

One of the most useful techniques to help visual data analysis systems is interactive filtering (brushing). However, visualization techniques often suffer from overlap of graphical…

cs.GR2015

A Survey on Distributed Visualization Techniques over Clusters of Personal Computers

Jose Rodrigues, Andre Balan, Luciana Zaina +1

In the last years, Distributed Visualization over Personal Computer (PC) clusters has become important for research and industrial communities. They have made large-scale visualiza…

cs.SI2015★ 3 cited

GMine: A System for Scalable, Interactive Graph Visualization and Mining

Jose Rodrigues, Hanghang Tong, Agma Traina +2

Several graph visualization tools exist. However, they are not able to handle large graphs, and/or they do not allow interaction. We are interested on large graphs, with hundreds o…

cs.GR2015

Reviewing Data Visualization: an Analytical Taxonomical Study

Jose F. Rodrigues, Agma J. M. Traina, Maria Cristina F. de Oliveira +1

This paper presents an analytical taxonomy that can suitably describe, rather than simply classify, techniques for data presentation. Unlike previous works, we do not consider part…