# The Iterative Process of Interactive Visual Analysis

## Helwig Hauser

#### MISC,
June, 2012

### Abstract

One central characteristic of our information age is that increasingly
often we should ex�ploit 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 know�ledge, 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**

### 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 ex�ploit 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 know�ledge, 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.},
}