DocumentCode :
119525
Title :
PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods
Author :
Jaegul Choo ; Changhyun Lee ; Hannah Kim ; Hanseung Lee ; Reddy, Chandan K. ; Drake, Barry L. ; Haesun Park
fYear :
2014
fDate :
25-31 Oct. 2014
Firstpage :
241
Lastpage :
242
Abstract :
A main bottleneck in integrating computational methods with visual analytics is their significant computational cost, which hinders real-time interactive visualization with them. To solve this, we present PIVE (Per-Iteration Visualization Environment), which visualizes intermediate results from algorithm iterations, thus allowing users to efficiently perform multiple interactions in real time.
Keywords :
data visualisation; iterative methods; real-time systems; PIVE; algorithm iterations; computational cost; computational methods; per-iteration visualization environment; real-time interactions; visual analytics; Clustering algorithms; Data visualization; Instruction sets; Real-time systems; Stability analysis; Visual analytics; Real-time interaction; clustering; dimension reduction; large-scale visualization; multithreading; visual analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/VAST.2014.7042510
Filename :
7042510
Link To Document :
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