… to our big data visualization and visual analytics tool from IV 2020 worN, we design and
development of a data science solution for visualization and visual analytics of temporal data―ie…

… in different application domains that can bridge the gap between the challenges of discovering
knowledge in large and complex data sets and visual analytics solutions were presented. …

… On a grand scale, visual analytics solutions provide technology that combines the strengths
of human and electronic data processing. Visualization becomes the medium of a semi-…

… automated and visual analysis. In this paper, we outline the scope of Visual Analytics using
two … of suboptimal solutions, (b) the need for adapting existing analysis processes using the …

… process, it is hard to assess the quality of visual analytics solutions. A theoretically founded
evaluation framework needs to be developed to assess the effectiveness, efficiency and user …

… visual analytics. In this paper we will describe the challenges of teaching eye tracking combined
with visual analytics in a computer and data science … assignments and solutions to the …

… Visual analytics or data visualization is always backed up by statistical and analytical reasoning
for better comprehension of the data set … The solution overview to predict the employee …

… In the following section, we discuss selected visual analysis solutions that are specifically
tailored to the needs of real-world industrial use cases—going beyond standard off-the-shelf …

… data; provide visualization that is useful especially to users that have limited knowledge in
mathematics and data science… analytics are useful tools in defining what is the best solution or …

… systems and have to exclude platform solutions. These solutions typically comprise a set of
… inquiries the typical data scientist spends 50 to 80 percent of the time on data collection and …