Litcius/Paper detail

Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications

Gennady Andrienko, Natalia Andrienko, Steven M. Drucker, Jean‐Daniel Fekete, Danyel Fisher, Stavros Idreos, Tim Kraska, Guoliang Li, Kwan-Liu Ma, Jock D. Mackinlay, Antti Oulasvirta, Tobias Schreck, Heidrun Schmann, Michael Stonebraker, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf

2020DSpace@MIT (Massachusetts Institute of Technology)33 citationsOpen Access PDF

Abstract

In the context of data visualization and analytics, this report out-lines some of the challenges and emerging applications that arise in the Big Data era. In particularly, fourteen distinguished scien-tists from academia and industry, and diverse related communi-ties, i.e., Information Visualization, Human-Computer Interac-tion, Machine Learning, Data management & Mining, and Com-puter Graphics have been invited to express their opinions.

Topics & Concepts

Big dataData scienceComputer scienceVisual analyticsVisualizationInformation visualizationData visualizationContext (archaeology)Cultural analyticsAnalyticsGraphicsComputer graphicsWorld Wide WebSemantic analyticsData miningThe InternetComputer graphics (images)PaleontologyWeb modelingBiologyData Visualization and AnalyticsExplainable Artificial Intelligence (XAI)Scientific Computing and Data Management