Del 10084 i serien Lecture Notes in Computer Science

Advanced Visual Interfaces. Supporting Big Data Applications

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

Häftad, Engelska, 2016

AvMarco X. Bornschlegl,Felix C. Engel,Raymond Bond,Matthias L. Hemmje

759 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2016-12-17
Mått155 x 235 x 9 mm
Vikt248 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor143
Upplaga16001
FörlagSpringer International Publishing AG
ISBN9783319500690

Tillhör följande kategorier

Artificiell intelligens inom Data och IT
Databaser inom Data och IT
Människa – datorinteraktion inom Data och IT

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.