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The Iterative Process of Interactive Visual Analysis

Helwig Hauser

MISC, September, 2012

Abstract

One central characteristic of our information age is that increasingly often we should exploit the wealth of available data for the sake of learning, decision making, as well as other tasks. A promising approach - not at the least also targeted by visual analytics - is to integrate the strengths of computers (fast computation, efficient handling of large datasets, comparably low costs, etc.) with the strengths of the users (perceptual capabilities, considering domain knowledge, detecting the unexpected, etc.). In this talk, we look at one possible solution, i.e., the concept of interactive visual analysis, and describe it as an iterative process, enabling the integration of computational and interactive means for data exploration and analysis. We consider a data scenario that opposes dependent and independent data dimensions (like in a table), general enough to match many different application cases. We focus on the case of multivariate data, but also address the case of high-dimensional data and opportunities for exploring and analyzing such data. After all, we think of interactive visual analysis as an iterative process, where each step is performed on the basis of a toolbox with computational and interactive visual solutions.

Published

Talk in the Visual Computing Forum (VCF) at UiB

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BibTeX

@misc{Hauser12VCF,
 author = {Helwig Hauser},
 title = {The Iterative Process of Interactive Visual Analysis},
 year = {2012},
 month = {September},
 howpublished = {Talk in the Visual Computing Forum (VCF) at UiB},
 location = {Bergen, Norway},
 url ={http://www.ii.uib.no/vis/vcf/},
 abstract = {One central characteristic of our information age is 
   that increasingly often we should exploit the wealth of available 
   data for the sake of learning, decision making, as well as other tasks. 
   A promising approach - not at the least also targeted by visual analytics - 
   is to integrate the strengths of computers (fast computation, efficient 
   handling of large datasets, comparably low costs, etc.) with the strengths 
   of the users (perceptual capabilities, considering domain knowledge, 
   detecting the unexpected, etc.). In this talk, we look at one possible 
   solution, i.e., the concept of interactive visual analysis, and describe 
   it as an iterative process, enabling the integration of computational and 
   interactive means for data exploration and analysis. We consider a data 
   scenario that opposes dependent and independent data dimensions (like in 
   a table), general enough to match many different application cases. 
   We focus on the case of multivariate data, but also address the case of 
   high-dimensional data and opportunities for exploring and analyzing such data. 
   After all, we think of interactive visual analysis as an iterative process, 
   where each step is performed on the basis of a toolbox with computational 
   and interactive visual solutions.},


}






 Last Modified: Jean-Paul Balabanian, 2014-11-25