Parallel coordinates are better than they... look!
Article No.: 15, Pages 1 - 33
References
[1]
N. Adrienko and G. Adrienko. Constructing Parallel Coordinates Plots for Problem Solving. in Proc. 1st Inter. Symp. on Smart Graphics, A. Butz, A. Krueger, P. Oliver, and M. Zhou (eds.), ACM Press 9--14, New York, 2001.
[2]
E. W. Bassett. Ibm's ibm fix. Industrial Computing, 14(41):23--25, 1995.
[3]
B. Bollobas. Graph Theory. Springer-Verlag, New York, 1979.
[4]
H. Choi and H. Lee. PCAV: Internet Attack Visualization in Parallel Coordinates, LNCS 3783, 454--466. Springer-Verlag, New York, 2005.
[5]
G. Conti. Security Data Visualization. No Starch Press, San Francisco, 2007.
[6]
J. A Dykes, A. M. MacEachren, and Kraak M. J. (eds). Exploring Geovisualization. Elsevier, Amsterdam, 2005.
[7]
J. A. Dykes and D. M. Mountain. Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications. Comput. Statit. & Data Anal., 43 (Data Visualization II special ed.):581--603, 2003.
[8]
R. Edsall. The parallel coordinate plot in action: Design and use for geographic visualization. Comput. Statit. & Data Anal., 43-4:605--619, 2003.
[9]
J. Eickemeyer. Visualizing p-flats in N-space using Parallel Coordinates. Ph.D. thesis, Dept. Comp. Sc., UCLA, 1992.
[10]
S. El Mejdani, R. Egli, and F. Dubeau. Old & new straight-line detectors, descriptions & comparisons. Pattern Recognition, 41:1845--66, 2008.
[11]
A. Ellis, G. Dix. Enabling automatic clutter reduction in parallel coordinates. Trans. on Vis. & Comp. Grap., 12-5:717--724, 2006.
[12]
N. Elmquist, J. Stasko, and P. Tsingas. Datameadow: A visual canvas for analysis of large-scale multivariate data. Proc. IEEE Vast Conf., to appear, 2007.
[13]
G. Fayad, U. M. Piatesky-Shapiro, P. Smyth, and R. Uthurusamy. Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, Cambridge Mass., 1996.
[14]
M. Friendly and al. Milestones in Thematic Cartography. www.math.yorku.ca/scs/SCS/Gallery/milestones/, 2005.
[15]
Y. H. Fua, M. O. Ward, and E. A. Rundensteiner. Hierarchical Parallel Coordinates for Exploration of Large Datasets -- Proc. of Conf. on Vis., 43--50. IEEE Comp. Soc. Press, Los Alamitos, CA, 1999.
[16]
C. Gennings, K. S. Dawson, W. H. Carter, and R. H. Myers. Interpreting plots of a multidimensional dose-response surface in parallel coordinates. Biometrics, 46:719--35, 1990.
[17]
A. Goel. Vizcraft: A Multidimensional Visualization Tool for Aircraft Configuration Design. IEEE Vis Conf., 425--8, 1999.
[18]
F. Harary. Graph Theory. Addison-Wesley, Reading, Mass., 1969.
[19]
H. Hauser. Parallel Sets: Visual Analysis of Categorical Data. Proc. IEEE Infovis, 2005.
[20]
J. Helly. Applications of Parallel Coordinates to Complex System Design and Operation. Proc. Nat. Comp. Grap. Assoc. vol.III, 541--546, 1987.
[21]
P. Hertzog. Visualizations to Improve Reactivity towards Security Incidents inside Corporate Networks, SIGSAC Conf. Proc., 95--102. ACM New York, 2006.
[22]
Q. Huanin, C. Wing-Yi, X. Anbang, C. Kai-Lun, L. Kai-Hon, and G. Ping. Visual analysis of the air pollution problem in hong kong. Trans. on Vis. & Comp. Grap., 13-6:1408--15, 2007.
[23]
C. B. Hurley and R. W. Olford. Pairwise display of high dimensional informatin via eulerian tours and hamiltonian decompositions. to appear, 2010.
[24]
A. Inselberg. Visual data mining with parallel coordinates. Comput. Statit., 13-1:47--64, 1998.
[25]
A. Inselberg. Parallel Coordinates: VISUAL Multidimensional Geometry and its Applications. Springer, New York, 2009.
[26]
A. Inselberg and T. Avidan. The Automated Multidimensional Detective, in Proc. of IEEE Information Visualization '99, 112--119. IEEE Comp. Soc., Los Alamitos, CA, 1999.
[27]
A. Inselberg and P. L. Lai. Visualizing Families of Close Planes, 66. Proc. 5th Asian Conf. on Stat., Hong Kong, 2005.
[28]
J. Johansson, P. Ljung, M. Jern, and M. Cooper. Revealing Structure within Clustered Parallel Coordinates Displays, Proc. IEEE Infovis, 125--132. IEEE Comp. Soc., Los Alamitos, CA, 2005.
[29]
J. Johansson, P. Ljung, M. Jern, and M. Cooper. Revealing structure in visualizations of dense 2d and 3d parallel coordinates. Inf. Vis. Pal-Grave-Mcmillan Journ., 5:125--136, 2006.
[30]
C. Jones. Visualization and Optimization. Kluwer Academic Publishers, Boston, 1996.
[31]
M. Kipouros, T. Mleczko and M. Savill. Use of Parallel Coordinates for Post-Analyses of Multiobjective Aerodynamic Design Optimization in Turbomachinery (to appear). Proc. 4th AIAA Meet., 2008.
[32]
P. L Lai, Y. J Liang, and A. Inselberg. Classification and Visualization for EEG Data. INTECH 2013, 2013.
[33]
P. L Lai, Y. J Liang, A. Inselberg, and C. P. Chen. Parallel Coordinates of Automated Living Context-Awareness Environments. MSV 2013, 2013.
[34]
D. E. Lucas. Recréations Mathematiques, vol II. Gauthier Villars, Paris, 1892.
[35]
J. Martin, G. Kennedy. Using Curves to Enhance Parallel Coordinates Visualization. Proc. IEEE Infovis, London, IEEE Comp. Soc., Los Alamitos, CA, 10--16, 2003.
[36]
T. M. Mitchell. Machine Learning. McGraw-Hill, 1997.
[37]
J. Nakano and K. Honda. Three-dimensional parallel coordinates plot used for variable selection. Proc. COMP-STAT 2006, (eds. A. Rizzi, M. Vichi), Springer, 187--195, 2006.
[38]
B. Pham, Y. Cai, and R. Brown. Visualization Techniques for Tongue Analysis in Traditional Chinese Medicine. Proc. Med. Imag. SPIE 14--19, 2004.
[39]
J. R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufman, 1993.
[40]
H. Rosenbaum, R. Schumann. Chances and Limits of Progression in Visualization, in SimVis. Proc. Sim. & Vis., Magdeburg, Germany, 2007.
[41]
F. Rossi. Visual Data Mining and Machine Learning, in 14th Europ. ESANN Proc., 251--264. ESANN, Bruges Belgium, 2006.
[42]
C. Schmid and H. Hinterberger. Comparative Multivariate Vis. Across Conceptually Different Graphic Displays, in Proc. of 7th SSDBM. IEEE Comp. Soc., Los Alamitos, CA, 1994.
[43]
M. Tory, S. Potts, and T. Moller. A parallel coordinates style interface for exploratory volume visualization. Trans. on Vis. & Comp. Grap., 11-1:71--80, 2005.
[44]
E. R. Tufte. The Visual Display of Quantitative Information. Graphic Press, Connecticut, 1983.
[45]
E. R. Tufte. Envisioning Information. Graphic Press, Connecticut, 1990.
[46]
E. R. Tufte. Visual Explanation. Graphic Press, Connecticut, 1996.
[47]
A. R. Unwin, M. Theus, and H. Hofmann. (Eds.) Graphics of Large Datasets. Springer, New York, 2006.
[48]
M. O. Ward. XmdvTool: integrating multiple methods for visualizing multivariate data, Proc. IEEE Conf. on Vis., CA, 326--333. IEEE Comp. Soc., Los Alamitos, CA, 1994.
[49]
L. Yang. Pruning & visualizing generalized association rules in parallel coordinates. IEEE Know. & Data Engr., 15(1):60--70, 2005.
[50]
H. Ye and Z. Lin. Speed-up simulated annealing by parallel coordinates. Euro J. of OR, 173:59--71, 2006.
Index Terms
- Parallel coordinates are better than they... look!
Index terms have been assigned to the content through auto-classification.
Recommendations
Continuous Parallel Coordinates
Typical scientific data is represented on a grid with appropriate interpolation or approximation schemes,defined on a continuous domain. The visualization of such data in parallel coordinates may reveal patterns latently contained in the data and thus ...
The Polar Parallel Coordinates Method for Time-Series Data Visualization
ICCIS '12: Proceedings of the 2012 Fourth International Conference on Computational and Information SciencesParallel coordinates is a very important visualization method, but the dimensions it can express are limited by the length or width of the screen. In this paper, we present the polar parallel coordinates method. First, we define the polar parallel ...
On the usability of three-dimensional display in parallel coordinates: evaluating the efficiency of identifying two-dimensional relationships
In recent years, several different attempts have been made to extend the well-known technique of parallel coordinates using a three-dimensional display. This article presents an evaluation that investigates the performance of the three-dimensional ...
Comments
Information & Contributors
Information
Published In
November 2014
1237 pages
ISBN:9781450331951
DOI:10.1145/2659467
Copyright © 2014 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
In-Cooperation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 November 2014
Check for updates
Qualifiers
- Research-article
Conference
SA'14
Acceptance Rates
Overall Acceptance Rate 178 of 869 submissions, 20%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 224Total Downloads
- Downloads (Last 12 months)5
- Downloads (Last 6 weeks)0
Reflects downloads up to 05 Feb 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in