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Bornschlegl / Hemmje / Engel

Advanced Visual Interfaces. Supporting Big Data Applications

AVI 2016 Workshop, AVI-BDA 2016, Bari, Italy, June 7-10, 2016, Revised Selected Papers

Medium: Buch
ISBN: 978-3-319-50069-0
Verlag: Springer International Publishing
Erscheinungstermin: 17.12.2016
Lieferfrist: bis zu 10 Tage

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 papers in this volume present the elaborated outcome of the initial position papers capturing the results oft the roadmapping discussions in the workshop at which comments of several external reviewers for these full publications were also integrated.


Produkteigenschaften


  • Artikelnummer: 9783319500690
  • Medium: Buch
  • ISBN: 978-3-319-50069-0
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 17.12.2016
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2016
  • Serie: Lecture Notes in Computer Science
  • Produktform: Kartoniert
  • Gewicht: 2467 g
  • Seiten: 143
  • Format (B x H x T): 155 x 235 x 9 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.