Although open government data (OGD) are becoming widely available, they have not yet
reached their full potential due to their limited use. Supplementing OGD with visualizations …

Effective data analysis ideally requires the analyst to have high expertise as well as high
knowledge of the data. Even with such familiarity, manually pursuing all potential …

Predictive analytics embraces an extensive range of techniques including statistical
modeling, machine learning, and data mining and is applied in business intelligence, public …

Bitcoin is gaining ever increasing popularity. However, professional skills are required if
people want to check bitcoin transaction information from the blockchain. As pointed out in a …

Frequency-based decomposition of time series data is used in many visualization
applications. Most of these decomposition methods (such as Fourier transform or singular …

In the last decade, many studies have focused on visualization. The main key to make it
practical for research and engineering applications is the suitable definition of a pipeline …

The rise of 'big data'in agrifood has increased the need for decision support systems that
harvest the power of artificial intelligence. While many such systems have been proposed …

Data videos--motion graphics that incorporate visualizations--have been recognized as an
effective way to communicate ideas, but creating such video requires both time and …

Human-centered AI (HCAI), rather than replacing the human, puts the human user in the
driver's seat of so-called human-centered AI-infused tools (HCAI tools): interactive software …

Let $\mathcal F $ be a set of boolean functions. We give an algorithm for learning $\mathcal
F_∨:={\vee_f∈ Sf| S⊆\mathcal {F}} $ from membership queries. Our algorithm asks at most …