Visualization recommender systems aim to lower the barrier to exploring basic visualizations
by automatically generating results for analysts to search and select, rather than manually …

Generating knowledge from data is an increasingly important activity. This process of data
exploration consists of multiple tasks: data ingestion, visualization, statistical analysis, and …

Visualization recommendation (VisRec) systems provide users with suggestions for
potentially interesting and useful next steps during exploratory data analysis. These …

Visualization Recommendation Systems (VRSs) are a novel and challenging field of study
aiming to help generate insightful visualizations from data and support non-expert users in …

Draco has been developed as an automated visualization recommendation system
formalizing design knowledge as logical constraints in ASP (Answer-Set Programming) …

Visualization recommendation systems make understanding data more accessible to users
of all skill levels by automatically generating visualizations for users to explore. However …

Η οπτικοποίηση δεδομένων διαδραματίζει κρίσιμο ρόλο στις σύγχρονες επιχειρήσεις και
οργανισμούς. Σήμερα, οι όγκοι δεδομένων είναι πολύ αυξημένοι και οι αναλυτές πρέπει να …

We present Blocks, a formalism that enables the building of visualizations by specifying
layout, data relationships, and level of detail (LOD) for specific portions of the visualization …

Dieinison Jack Freire Braga Visualizing Data Facts: A Comparative Study of Annotation
Techniques and Their Impact on Users’ Pe Page 1 Dieinison Jack Freire Braga Visualizing …