A framework for uncertainty-aware visual analytics

VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings

Volumn , Issue , 2009, Pages 5-58

  Correa, Carlos D ^a   Chan, Yu Hsuan ^a   Kwan Liu, Ma ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Data transformations; Model fitting; Principal component analysis; Uncertainty

Indexed keywords

DATA VISUALIZATION; DECISION MAKING; GRAPHICAL USER INTERFACES; K-MEANS CLUSTERING; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL MECHANICS; VISUALIZATION;

DATA TRANSFORMATION; DECISION MAKING PROCESS; MODEL FITTING; STATISTIC METHOD; STATISTICAL TOOLS; UNCERTAINTY; UNCERTAINTY MODELING; VISUAL ANALYTICS;

UNCERTAINTY ANALYSIS;

EID: 72849131594     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2009.5332611     Document Type: Conference Paper

References (35)

1. S. Barlowe, T. Zhang, Y. Liu, J. Yang, and D. Jacobs. Multivariate visual explanation for high dimensional datasets. pages 147-154, Oct. 2008.
2. P. Berkhin. Survey of clustering data mining techniques. Technical report, Accrue Software, San Jose, CA, 2002.
3. G. Box and N. Draper. Empirical Model-Building and Response Surfaces. John Wiley & Sons, 1987.
4. J. Carroll and P. Arabie. Multidimensional scaling. Annual Review of Psychology, 31:607-649, 1980.
5. K. Chan, A. Saltelli, and S. Tarantola. Sensitivity analysis of model output: variance-based methods make the difference. In WSC '97: Proceedings of the 29th conference on Winter simulation, pages 261-268, 1997.
6. M. Chau, R. Cheng, B. Kao, and J. Ng. Uncertain data mining: An example in clustering location data. In Proc. of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006), pages 199-204, 2006.
7. G. Cormode and A. McGregor. Approximation algorithms for clustering uncertain data. In PODS '08: Proceedings of the twentyseventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, pages 191-200, New York, NY, USA, 2008. ACM.
8. A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society. Series B (Methodological), 39(1):1-38, 1977.
9. H. Dolfing. A visual analytics framework for feature and classifier engineering. Master's thesis, University of Konstanz, 2007.
10. N. R. Draper and H. Smith. Applied Regression Analysis (Wiley Series in Probability and Statistics). John Wiley & Sons Inc, 2 sub edition, 1998.
11. H. Frey and S. Patil. Identification and review of sensitivity analysis methods. Risk Analysis, 22(3):553-578, 2002.
12. J. Y. Halpern. Reasoning about Uncertainty. The MIT Press, October 2003.
13. D. J. Harrison and D. L. Rubinfeld. Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management, 5(1):81-102, March 1978.
14. T. Hastie and R. Tibshirani. Generalized Additive Models. Chapman and Hall, 1990.
15. F. O. Hoffman and J. S. Hammonds. Propagation of uncertainty in risk assessments: The need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability. Risk Analysis, 14(5):707-712, 1994.
16. G. Hunter and M. Goodchild. Managing uncertainty in spatial databases: Putting theory into practice. Journal of Urban and Regional Information Systems Association, 5(2):55-62, 1993.
17. D. A. Keim, F. Mansmann, J. Schneidewind, and H. Ziegler. Challenges in visual data analysis. In IV '06: Proceedings of the conference on Information Visualization, pages 9-16, 2006.
18. D. Kurowicka and R. Cooke. Uncertainty Analysis with High Dimensional Dependence Modeling. Wiley, 2006.
19. J. B. MacQueen. Some methods for classification and analysis of multivariate observations. In L. M. L. Cam and J. Neyman, editors, Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, volume 1, pages 281-297. University of California Press, 1967.
20. W. K. Ngai, B. Kao, C. K. Chui, R. Cheng, M. Chau, and K. Yip. Efficient clustering of uncertain data. pages 436-445, Dec. 2006.
21. A. Pang, C. M. Wittenbrink, and S. K. Lodha. Approaches to uncertainty visualization. The Visual Computer, 13(8):370-390, 1997.
22. B. Pham and R. Brown. Visualisation of fuzzy systems: requirements, techniques and framework. Future Gener. Comput. Syst., 21(7):1199-1212, 2005.
23. M. M. Putko, P. A. Newman, A. C. T. Iii, and L. L. Green. Approach for uncertainty propagation and robust design in cfd using sensitivity derivatives. In AIAA 15th Computational Fluid Dynamics Conference, pages 2001-2528, 2001.
24. C. R.M. and V. N. J.M. Generalized graphical methods for uncertainty and sensitivity analysis. Bashkir Ecological Journal, (Special Issue), 1(8):54-57, 2000.
25. J. Shlens. A tutorial on principal component analysis, December 2005.
26. Y. Tanaka. Recent advance in sensitivity analysis in multivariate statistical methods. Journal of the Japanese Society of Computational Statistics, 7(1):1-25, 1994.
27. B. N. Taylor and C. E. Kuyatt. Guidelines for evaluating and expressing the uncertainty of NIST measurement results. Technical report, NIST Tecnical Note 1297, 1994.
28. S. Thompson. Sampling. 1992.
29. J. Thomson, E. Hetzler, A. Maceachren, M. Gahegan, and M. Pavel. A typology for visualizing uncertainty. In R. F. Erbacher, J. C. Roberts, M. T. Gröhn, and K. Börner, editors, Visualization and Data Analysis 2005. Proceedings of the SPIE, Volume 5669, pages 146-157, March 2005.
30. V. Šmídl and A. Quinn. On bayesian principal component analysis. Comput. Stat. Data Anal., 51(9):4101-4123, 2007.
31. N.Wiener. The homogeneous chaos. American Journal of Mathematics, 60(4):897-936, 1938.
32. Y. Yamanishi and Y. Tanaka. Sensitivity analysis in functional principal component analysis. Computational Statistics, 20(2):311-326, 2005.
33. D. Yang, E. A. Rundensteiner, and M. O. Ward. Analysis guided visual exploration of multivariate data. In Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on, pages 83-90, 2007.
34. Y. Yao. Interval based uncertain reasoning. Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American, pages 363-367, 2000.
35. T. Zuk and M. S. T. Carpendale. Visualization of uncertainty and reasoning. In Smart Graphics, pages 164-177, 2007.