We present a comprehensive, detailed review of time-series data analysis, with emphasis on
deep time-series clustering (DTSC), and a case study in the context of movement behavior …

This survey provides an introduction into eye tracking visualization with an overview of
existing techniques. Eye tracking is important for evaluating user behaviour. Analysing eye …

Supporting exploratory visual analysis (EVA) is a central goal of visualization research, and
yet our understanding of the process is arguably vague and piecemeal. We contribute a …

With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

There is fast‐growing literature on provenance‐related research, covering aspects such as
its theoretical framework, use cases, and techniques for capturing, visualizing, and …

Visual analytics for time series data has received a considerable amount of attention.
Different approaches have been developed to understand the characteristics of the data and …

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. On
one hand, visualization can facilitate humans in data understanding through intuitive visual …

Interaction is an important channel to offer users insights in interactive visualization systems.
However, which interaction to operate and which part of data to explore are hard questions …

The legacy grid is evolving towards an intelligent-rooted grid system, whose architectural
components should be able to improve and adapt their performance according to learning …

With the recent advances in computer-supported cooperative work systems and increasing
popularization of speech-based interfaces, groupware attempting to emulate a …