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Interactive Visual Analysis of Families of Function Graphs
November/December 2006 (vol. 12 no. 6)
pp. 1373-1385
ASCII Text
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Zolt? Konyha, Kresimir Matkovic, Denis Gracanin, Mario Jelovic, Helwig Hauser, "Interactive Visual Analysis of Families of Function Graphs," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 6, pp. 1373-1385, November/December, 2006.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2006.99,
author = {Zolt? Konyha and Kresimir Matkovic and Denis Gracanin and Mario Jelovic and Helwig Hauser},
title = {Interactive Visual Analysis of Families of Function Graphs},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {12},
number = {6},
issn = {1077-2626},
year = {2006},
pages = {1373-1385},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2006.99},
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 - Interactive Visual Analysis of Families of Function Graphs
IS - 6
SN - 1077-2626
SP1373
EP1385
EPD - 1373-1385
A1 - Zolt? Konyha,
A1 - Kresimir Matkovic,
A1 - Denis Gracanin,
A1 - Mario Jelovic,
A1 - Helwig Hauser,
PY - 2006
KW - Visual exploration
KW - composite brushing
KW - linked views
KW - time series data
KW - fuel injection system.
VL - 12
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
Zolt? Konyha, IEEE Computer Society
Kresimir Matkovic, IEEE Computer Society

Abstract—The analysis and exploration of multidimensional and multivariate data is still one of the most challenging areas in the field of visualization. In this paper, we describe an approach to visual analysis of an especially challenging set of problems that exhibit a complex internal data structure. We describe the interactive visual exploration and analysis of data that includes several (usually large) families of function graphs f_i({\bf{x}},t). We describe analysis procedures and practical aspects of the interactive visual analysis specific to this type of data (with emphasis on the function graph characteristic of the data). We adopted the well-proven approach of multiple, linked views with advanced interactive brushing to assess the data. Standard views such as histograms, scatterplots, and parallel coordinates are used to jointly visualize data. We support iterative visual analysis by providing means to create complex, composite brushes that span multiple views and that are constructed using different combination schemes. We demonstrate that engineering applications represent a challenging but very applicable area for visual analytics. As a case study, we describe the optimization of a fuel injection system in diesel engines of passenger cars.

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Index Terms:
Visual exploration, composite brushing, linked views, time series data, fuel injection system.
Citation:
Zolt? Konyha, Kresimir Matkovic, Denis Gracanin, Mario Jelovic, Helwig Hauser, "Interactive Visual Analysis of Families of Function Graphs," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 6, pp. 1373-1385, Nov.-Dec. 2006, doi:10.1109/TVCG.2006.99
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