A survey on information visualization: recent advances and challenges

By Shixia Liu, Weiwei Cui, Yingcai Wu, Mengchen Liu. 2014

385 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Computer Vision and Pattern Recognition

Citations in the corpus

Towards Better Analysis of Deep Convolutional Neural Networks (2016, methodology): “In order to reduce visual clutter, we tried the geometry-based edge bundling method [14, 25, 39] to cluster the edges between two layers.”
How Hierarchical Topics Evolve in Large Text Corpora (2014, background): “Visually analyzing evolving topics in text corpora has become a widely researched topic over the past few years [10, 14, 18].”
Sequence Synopsis: Optimize Visual Summary of Temporal Event Data (2018, background): “With the growing importance of event sequence analysis, a variety of visualization techniques have been proposed in the past years [5, 8, 9, 15, 23, 29, 33, 36, 41, 43, 52, 54, 55, 57, 60].”
Visualizing data as objects by DC (difference of convex) optimization (2017, background): “Data Visualization techniques arise to respond to this requirement by developing specific frameworks to depict complex data structures as easy-to-interpret graphics, [40, 50].”
EvoRiver: Visual Analysis of Topic Coopetition on Social Media (2014, neutral): “Stacked graphs are widely used in different applications [14, 24, 26, 34, 36, 39].”
Towards better analysis of machine learning models: A visual analytics perspective (2017, neutral): “In addition to an explosion of research on better understanding of learning results [6, 7, 8, 9, 10, 11, 12, 13, 14], researchers have paid increasing attention to leveraging interactive visualizations to better understand and iteratively improve a machine learning model.”
An Uncertainty-Aware Approach for Exploratory Microblog Retrieval (2015, neutral): “In these projects, we often needed to discover and retrieve relevant tweets, users, and hashtags by keyword search.”