Advanced Visual Interfaces. Supporting Big Data Applications AVI 2016 Workshop, AVI-BDA 2016, Bari, Italy, June 7–10, 2016, Revised Selected Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bornschlegl, Marco X. (Editor), Engel, Felix C. (Editor), Bond, Raymond (Editor), Hemmje, Matthias L. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Lecture Notes in Computer Science, 10084
• Subjects: Computer science.; Computer communication systems.; Information storage and retrieval.; Multimedia information systems.; User interfaces (Computer systems).; Artificial intelligence.; Computer Science.; User Interfaces and Human Computer Interaction.; Information Systems Applications (incl. Internet).; Artificial Intelligence (incl. Robotics).; Information Storage and Retrieval.; Computer Communication Networks.; Multimedia Information Systems.

This book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2016 Workshop on Road Mapping Infrastructures for Advanced Visual Interfaces Supporting Big Data Applications in Virtual Research Environments, AVI-BDA 2016, held in Bari, Italy, in June 2016. The 10 revised full pape...

Table of Contents:

• IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments
• Engineering Study of Tidal Stream Renewable Energy Generation and Visualization: Issues of Process Modelling and Implementation
• Cost effective visualization of research data for cognitive development using mobile Augmented Reality
• Visualizing Next-Generation Sequencing Cancer Data Sets with Cloud Computing
• SenseCare: Towards an Experimental Platform for Home-Based, Visualisation of Emotional States of People with Dementia
• Toward Interactive Visualization of Results from Domain-Specific Text Analytics
• Towards Synchronizing Data Sources and Information Visualizations in Virtual Research Environments
• Visual analytics and mining over Big Data
• A Meta-design Approach to Support Information Access and Manipulation in Virtual Research Environments. <.