Cartographic maps have been shown to provide cognitive benefits when interpreting data in
relation to a geographic location. In visualization, the term map‐like describes techniques …

Data visualization is the presentation of data in a pictorial or graphical format, and a data
visualization tool is the software that generates this presentation. Data visualization provides …

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 …

Machine learning models are currently being deployed in a variety of real-world applications
where model predictions are used to make decisions about healthcare, bank loans, and …

Machine learning techniques are a driving force for research in various fields, from credit
card fraud detection to stock analysis. Recently, a growing interest in increasing human …

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 …

This textbook presents the main principles of visual analytics and describes techniques and
approaches that have proven their utility and can be readily reproduced. Special emphasis …

Integrating artificial intelligence (AI) and machine learning (ML) methods with interactive
visualization is a research area that has evolved for years. With the rise of AI applications …

This study presents insights from interviews with nineteen Knowledge Graph (KG)
practitioners who work in both enterprise and academic settings on a wide variety of use …

Exa-scale volumes of medical data have been produced for decades. In most cases, the
diagnosis is reported in free text, encoding medical knowledge that is still largely …