Visualizing the insights of the invisible music is able to bring listene...
Graph or network data are widely studied in both data mining and
visuali...
Science has long been viewed as a key driver of economic growth and risi...
In recent years, more and more researchers have reflected on the
underva...
The advances in AI-enabled techniques have accelerated the creation and
...
Optimal margin Distribution Machine (ODM) is a newly proposed statistica...
Developable surfaces are commonly observed in various applications such ...
Datamation is designed to animate an analysis pipeline step by step, whi...
As data visualizations have been increasingly applied in mass communicat...
Visual embellishments, as a form of non-linguistic rhetorical figures, a...
As an effective form of narrative visualization, visual data stories are...
In recent years, narrative visualization has gained a lot of attention.
...
Visual elements in an information presentation are often spatially and
s...
Despite the rising popularity of automated visualization tools, existing...
Through a data-oriented question and answering system, users can directl...
Complex, high-dimensional data is used in a wide range of domains to exp...
Visual data stories shown in the form of narrative visualizations such a...
Causality is crucial to understanding the mechanisms behind complex syst...
Event sequence data record series of discrete events in the time order o...
A chart sequence is used to describe a series of visualization charts
ge...
The rapid development of urbanization during the past decades has
signif...
Anomaly detection is a common analytical task that aims to identify rare...
The increasing accessibility of data provides substantial opportunities ...
Clinical decision support systems (CDSS) are widely used to assist with
...
Local graph partitioning is a key graph mining tool that allows research...
Convolutional neural networks (CNNs) are widely used in many image
recog...