Big Data technology has discarded traditional data modeling approaches as no longer
applicable to distributed data processing. It is, however, largely recognized that Big Data …

Progressive Visual Analytics (PVA) has gained increasing attention over the past years. It
brings the user into the loop during otherwise long-running and non-transparent …

Linked Data (LD) is a well-established standard for publishing and managing structured
information on the Web, gathering and bridging together knowledge from different scientific …

In interactive data analysis processes, the dialogue between the human and the computer is
the enabling mechanism that can lead to actionable observations about the phenomena …

Exploring data requires a fast feedback loop from the analyst to the system, with a latency
below about 10 seconds because of human cognitive limitations. When data becomes large …

In the age of big data, being able to make sense of data is an important key to success.
Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and …

Data science requires time-consuming iterative manual activities. In particular, activities
such as data selection, preprocessing, transformation, and mining, highly depend on …

Progressive visualization is fast becoming a technique in the visualization community to help
users interact with large amounts of data. With progressive visualization, users can examine …

Existing systems dealing with the increasing volume of data series cannot guarantee
interactive response times, even for fundamental tasks such as similarity search. Therefore …

Progressive visual analytics (PVA) has emerged in recent years to manage the latency of
data analysis systems. When analysis is performed progressively, rough estimates of the …