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Model-Driven Design for the Visual Analysis of Heterogeneous Data
June 2012 (vol. 18 no. 6)
pp. 998-1010
ASCII Text
x 
 
A. Lex, H. Schulz, M. Streit, D. Schmalstieg, H. Schumann, "Model-Driven Design for the Visual Analysis of Heterogeneous Data," IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 6, pp. 998-1010, June, 2012.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2011.108,
author = {A. Lex and H. Schulz and M. Streit and D. Schmalstieg and H. Schumann},
title = {Model-Driven Design for the Visual Analysis of Heterogeneous Data},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {18},
number = {6},
issn = {1077-2626},
year = {2012},
pages = {998-1010},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2011.108},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Model-Driven Design for the Visual Analysis of Heterogeneous Data
IS - 6
SN - 1077-2626
SP998
EP1010
EPD - 998-1010
A1 - A. Lex,
A1 - H. Schulz,
A1 - M. Streit,
A1 - D. Schmalstieg,
A1 - H. Schumann,
PY - 2012
KW - patient treatment
KW - cancer
KW - data visualisation
KW - medical computing
KW - data visualization
KW - model-driven design process
KW - analysis task workflow
KW - data trajectory
KW - interactive views
KW - analytical process
KW - biomedical use case
KW - cancer patient treatment plan
KW - heterogeneous clinical data pool visual analysis
KW - Stacknflip
KW - Data models
KW - Analytical models
KW - Visualization
KW - Data visualization
KW - Computational modeling
KW - Concrete
KW - Biological system modeling
KW - multiple data sets.
KW - Visual analytics
KW - analysis guidance
KW - model-driven design
VL - 18
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
A. Lex, Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria
H. Schulz, Dept. of Comput. Graphics, Univ. of Rostock, Rostock, Germany
M. Streit, Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria
D. Schmalstieg, Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria
H. Schumann, Dept. of Comput. Graphics, Univ. of Rostock, Rostock, Germany
As heterogeneous data from different sources are being increasingly linked, it becomes difficult for users to understand how the data are connected, to identify what means are suitable to analyze a given data set, or to find out how to proceed for a given analysis task. We target this challenge with a new model-driven design process that effectively codesigns aspects of data, view, analytics, and tasks. We achieve this by using the workflow of the analysis task as a trajectory through data, interactive views, and analytical processes. The benefits for the analysis session go well beyond the pure selection of appropriate data sets and range from providing orientation or even guidance along a preferred analysis path to a potential overall speedup, allowing data to be fetched ahead of time. We illustrate the design process for a biomedical use case that aims at determining a treatment plan for cancer patients from the visual analysis of a large, heterogeneous clinical data pool. As an example for how to apply the comprehensive design approach, we present Stack'n'flip, a sample implementation which tightly integrates visualizations of the actual data with a map of available data sets, views, and tasks, thus capturing and communicating the analytical workflow through the required data sets.

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Index Terms:
patient treatment,cancer,data visualisation,medical computing,data visualization,model-driven design process,analysis task workflow,data trajectory,interactive views,analytical process,biomedical use case,cancer patient treatment plan,heterogeneous clinical data pool visual analysis,Stacknflip,Data models,Analytical models,Visualization,Data visualization,Computational modeling,Concrete,Biological system modeling,multiple data sets.,Visual analytics,analysis guidance,model-driven design
Citation:
A. Lex, H. Schulz, M. Streit, D. Schmalstieg, H. Schumann, "Model-Driven Design for the Visual Analysis of Heterogeneous Data," IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 6, pp. 998-1010, June 2012, doi:10.1109/TVCG.2011.108
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