Timeseriespaths: Projection-based explorative analysis of multivarate time series data

Journal of WSCG

Volumn 20, Issue 2, 2012, Pages 97-106

  Bernard, Jürgen ^a   Wilhelm, Nils ^b   Scherer, Maximilian ^b   May, Thorsten ^a   Schreck, Tobias ^c  

^a FRAUNHOFER IGD   (Germany)

^b Technische Universität   (Germany)

^c UNIVERSITY OF KONSTANZ   (Germany)

Author keywords

Data aggregation; Data projection; Exploratory data analysis; Multivariate time series; Visual cluster analysis

Indexed keywords

EID: 84867441297     PISSN: 12136972     EISSN: 12136964     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. W. Aigner, S. Miksch, H. Schumann, and C. Tominski. Visualization of Time-Oriented Data. Springer-Verlag New York Inc, 2011.
2. Mihael Ankerst, Daniel A. Keim, and Hans-Peter Kriegel. Recursive pattern: A technique for visualizing very large amounts of data. In Proceedings of Visualization'95, Atlanta, GA, pages 279-286, 1995.
3. Jürgen Bernard, Jan Brase, Dieter W. Fellner, Oliver Koepler, Jörn Kohlhammer, Tobias Ruppert, Tobias Schreck, and Irina Sens. A visual digital library approach for time-oriented scientific primary data. In Proc. European Conference on Digital Libraries, pages 352-363, 2010.
4. Jürgen Bernard, Nils Wilhelm, Maximilian Scherer, Thorsten May, and Tobias Schreck. Reference list of 120 datasets from time series station payerne used for exploratory search. doi:10.1594/pangaea.783598, 2012.
5. Lior Berry and Tamara Munzner. Binx: Dynamic exploration of time series datasets across aggregation levels. In Proc. IEEE Symposium on Information Visualization, 2004.
6. D. Bhattarai and B.B. Karki. Visualization of atomistic simulation data for spatio-temporal information. In The 14th Int'l. Conf. on Central Europe in Computer Graphics, Visualization and Computer Vision (WSCG'06), 2006.
7. Trevor F. Cox and M.A.A. Cox. Multidimensional Scaling, Second Edition. Chapman and Hall/CRC, 2 edition, 2000.
8. Tim Dwyer and David R. Gallagher. Visualising changes in fund manager holdings in two and a half-dimensions. Information Visualization, 3:227-244, December 2004.
9. Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Dominik Morent, and Jörn Schneidewind. Intelligent visual analytics.
10. Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, and Tobias Schreck. Importance driven visualization layouts for large time-series data. In Proc. IEEE Symposium on Information Visualization. IEEE Computer Society, 2005.
11. Harry Hochheiser and Ben Shneiderman. Dynamic query tools for time series data sets: Timebox widgets for interactive exploration. Information Visualization, 3(1):1-18, 2004.
12. Yueqi Hu, Shuangyuan Wu, Shihong Xia, Jinghua Fu, and Wei Chen 0001. Motion track: Visualizing variations of human motion data. In PacificVis, pages 153-160, 2010.
13. N.K. Kasabov and Q. Song. Denfis: Dynamic evolving neuralfuzzy inference system and its application for time-series prediction. Fuzzy Systems, IEEE Transactions on, 2002.
14. E. Keogh, J. Lin, and A. Fu. Hot sax: Efficiently finding the most unusual time series subsequence. In Data Mining, Fifth IEEE International Conference on, pages 226-233. Ieee, 2005.
15. Teuvo Kohonen. Self-Organizing Maps. Springer, Berlin, 3rd edition, 2001.
16. Zoltan Konyha, Kresimir Matkovic, Denis Gracanin, Mario Jelovic, and Helwig Hauser. Interactive visual analysis of families of function graphs. IEEE Transactions on Visualization and Computer Graphics, 12(6):1373-1385, November 2006.
17. J. Lin, E. Keogh, S. Lonardi, J.P. Lankford, and D.M. Nystrom. VizTree: a tool for visually mining and monitoring massive time series databases. In Proc. of the int. conf. on Very Large Data Bases, pages 1269-1272. VLDB Endowment, 2004.
18. Yi Mao, Joshua Dillon, and Guy Lebanon. Sequential document visualization. IEEE Transactions on Visualization and Computer Graphics, 13:1208-1215, 2007.
19. Fabian Mörchen and Alfred Ultsch. Efficient mining of understandable patterns from multivariate interval time series. Data Min. Knowl. Discov., 15(2):181-215, 2007.
20. A. Ohmura, E. G. Dutton, B. Forgan, C. Fröhlich, H. Gilgen, H. Hegner, A. Heimo, G. König-Langlo, B. mcarthur, G. Müller, R. Philipona, R. Pinker, C. H. Whitlock, K. Dehne, and M. Wild. Baseline surface radiation network (BSRN/WCRP): New precision radiometry for climate research. Bull. Amer. Met. Soc., 79:2115-2136, 1998.
21. PANGAEA - Data Publisher for Earth and Environmental Science. http://www.pangaea.de/. Last accessed on April 5, 2012.
22. Y. Sakamoto, S. Kuriyama, and T. Kaneko. Motion map: image-based retrieval and segmentation of motion data. In Proc. 2004 ACM SIGGRAPH/Eurographics symposium on computer animation. Eurographics Association, 2004.
23. Geoffroy Simon, Amaury Lendasse, Marie Cottrell, and Université Paris. Long-term time series forecasting using selforganizing maps: the double vector quantization method, 2003.
24. Edward R. Tufte. The visual display of quantitative information. Graphics Press, Cheshire, CT, USA, 1986.
25. Jarke J. Van Wijk and Edward R. Van Selow. Cluster and calendar based visualization of time series data. In Proc. IEEE Symposium on Information Visualization, pages 4-9. IEEE Computer Society, 1999.
26. Matthew O. Ward and Zhenyu Guo. Visual exploration of timeseries data with shape space projections. Eurographics/IEEE Symposium on Visualization (EuroVis), 30(3), 2011.
27. M. Weber, M. Alexa, and W. Müller. Visualizing time-series on spirals. In proceedings of the IEEE Symposium on Information Visualization, pages 7-13, 2001.
28. H. Ziegler, M. Jenny, T. Gruse, and D.A. Keim. Visual market sector analysis for financial time series data. In Visual Analytics Science and Technology (VAST), IEEE Symposium on, pages 83-90, 2010.