[HTML][HTML] Science mapping: a systematic review of the literature

C Chen - Journal of data and information science, 2017 - sciendo.com
Science mapping is a generic process of domain analysis and visualization. The scope of a
science mapping study can be a scientific discipline, a field of research, or topic areas …

What is big data? A consensual definition and a review of key research topics

A De Mauro, M Greco, M Grimaldi - AIP conference proceedings, 2015 - pubs.aip.org
Although Big Data is a trending buzzword in both academia and the industry, its meaning is
still shrouded by much conceptual vagueness. The term is used to describe a wide range of …

A formal definition of Big Data based on its essential features

A De Mauro, M Greco, M Grimaldi - Library review, 2016 - emerald.com
A formal definition of Big Data based on its essential features | Emerald Insight Books and
journals Case studies Expert Briefings Open Access Publish with us Advanced search A formal …

RAWGraphs: a visualisation platform to create open outputs

M Mauri, T Elli, G Caviglia, G Uboldi… - Proceedings of the 12th …, 2017 - dl.acm.org
RAWGraphs is an open source web application for the creation of static data visualisations
that are designed to be further modified. Originally conceived for graphic designers to …

Social big data: Recent achievements and new challenges

G Bello-Orgaz, JJ Jung, D Camacho - Information Fusion, 2016 - Elsevier
Big data has become an important issue for a large number of research areas such as data
mining, machine learning, computational intelligence, information fusion, the semantic Web …

Big Data computing and clouds: Trends and future directions

MD Assunção, RN Calheiros, S Bianchi… - Journal of parallel and …, 2015 - Elsevier
This paper discusses approaches and environments for carrying out analytics on Clouds for
Big Data applications. It revolves around four important areas of analytics and Big Data …

[HTML][HTML] ECharts: a declarative framework for rapid construction of web-based visualization

D Li, H Mei, Y Shen, S Su, W Zhang, J Wang, M Zu… - Visual Informatics, 2018 - Elsevier
While there have been a dozen of authoring systems and programming toolkits for visual
design and development, users who do not have programming skills, such as data analysts …

Word cloud explorer: Text analytics based on word clouds

F Heimerl, S Lohmann, S Lange… - 2014 47th Hawaii …, 2014 - ieeexplore.ieee.org
Word clouds have emerged as a straightforward and visually appealing visualization
method for text. They are used in various contexts as a means to provide an overview by …

[PDF][PDF] On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges.

S Jänicke, G Franzini, MF Cheema… - EuroVis (STARs …, 2015 - researchgate.net
We present an overview of the last ten years of research on visualizations that support close
and distant reading of textual data in the digital humanities. We look at various works …

Vizml: A machine learning approach to visualization recommendation

K Hu, MA Bakker, S Li, T Kraska… - Proceedings of the 2019 …, 2019 - dl.acm.org
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 …