Title :
A methodology for supporting collaborative exploratory analysis of massive data sets in tele-immersive environments
Author :
Leigh, Jason ; Johnson, Andrew E. ; DeFanti, Thomas A. ; Bailey, Stuart ; Grossman, Robert
Author_Institution :
Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA
Abstract :
This paper proposes a methodology for employing collaborative, immersive virtual environments as a high-end visualization interface for massive data-sets. The methodology employs feature detection, partitioning, summarization and decimation to significantly cull massive data-sets. These reduced data-sets are then distributed to the remote CAVEs, ImmersaDesks and desktop workstations for viewing. The paper also discusses novel techniques for collaborative visualization and meta-data creation
Keywords :
data mining; data reduction; data visualisation; feature extraction; groupware; meta data; virtual reality; ImmersaDesks; collaborative exploratory analysis; collaborative immersive virtual environments; collaborative visualization; decimation; desktop workstations; feature detection; high-end visualization interface; massive data sets; massive data-set culling; meta-data creation; partitioning; reduced data-sets; remote CAVEs; summarization; tele-immersive environments; viewing; Collaboration; Collaborative work; Data analysis; Data mining; Data visualization; Humans; Physics computing; Rendering (computer graphics); US Department of Energy; Virtual environment;
Conference_Titel :
High Performance Distributed Computing, 1999. Proceedings. The Eighth International Symposium on
Conference_Location :
Redondo Beach, CA
Print_ISBN :
0-7803-5681-0
DOI :
10.1109/HPDC.1999.805283
