The Iterative Process of Interactive Visual Analysis

Helwig Hauser

MISC, June, 2012

• presentation
• www

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

Keynote talk at the EuroVA 2012 workshop

• Location: Vienna, Austria
• Date: June 2012
• URL: http://www.eurova.org/previous-events/eurova-2012

Media

BibTeX

@misc{Hauser12EuroVA,
 author = {Helwig Hauser},
 title = {The Iterative Process of Interactive Visual Analysis},
 year = {2012},
 month = {June},
 howpublished = {Keynote talk at the EuroVA 2012 workshop},
 location = {Vienna, Austria},
 url ={http://www.eurova.org/previous-events/eurova-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.},

}