In the context of data visualization and analytics, this report outlines some of the challenges
and emerging applications that arise in the Big Data era. In particularly, fourteen …

Almost all fields of study and practice sooner or later will confront the big-data problem.
Visualization has proven effective for not only presenting essential information in vast …

In this big data era, huge amount data are continuously acquired for a variety of purposes.
Advanced computing, imaging, and sensing technologies enable scientists to study natural …

In the current era of big data, a huge amount of data has been generated and collected from
a wide variety of rich data sources. Embedded in these big data are useful information and …

The Big Data era has realized the availability of a great amount and variety of datasets for
analysis by non-corporate data analysts, such as research scientists, data journalists, policy …

Due to the rapid development in our world today, multiple data sources from various sources
such as sensors, the internet of things, healthcare data, etc., have been increased. So, it is …

Analysts exploring big data require more from information visualization, data analysis, and
data management than these components can now deliver. New infrastructures must …

Data visualization transforms data into images to aid the understanding of data; therefore, it
is an invaluable tool for explaining the significance of data to visually inclined people. Given …

As mobile visualization is increasingly used and new mobile device form factors and
hardware capabilities continuously emerge, it is timely to reflect on what has been …

The volume of available data has been growing exponentially, increasing data problem's
complexity and obscurity. In response, visual analytics (VA) has gained attention, yet its …