W. Aigner, S. Miksch, H. Schumann, and C. Tominski, Visualization of Time-Oriented Data, 2011.
DOI : 10.1007/978-0-85729-079-3

B. Alper, N. Riche, G. Ramos, and M. Czerwinski, Design Study of LineSets, a Novel Set Visualization Technique, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.12, pp.2259-2267, 2011.
DOI : 10.1109/TVCG.2011.186

B. Bach, P. Dragicevic, D. Archambault, C. Hurter, and S. Carpendale, A Review of Temporal Data Visualizations Based on Space-Time Cube Operations, Proc. of EuroVis, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01006140

B. Bach, N. Henry-riche, T. Dwyer, T. Madhyastha, J. Fekete et al., Small MultiPiles: Piling Time to Explore Temporal Patterns in Dynamic Networks, Computer Graphics Forum, vol.26, issue.9, 2015.
DOI : 10.1111/cgf.12615

URL : https://hal.archives-ouvertes.fr/hal-01158987

A. Bezerianos, F. Chevalier, P. Dragicevic, N. Elmqvist, and J. Fekete, GraphDice: A System for Exploring Multivariate Social Networks, Computer Graphics Forum, pp.863-872, 2010.
DOI : 10.1111/j.1467-8659.2009.01687.x

URL : https://hal.archives-ouvertes.fr/inria-00521661

R. Borgo, M. Chen, B. Daubney, E. Grundy, G. Heidemann et al., State of the Art Report on Video-Based Graphics and Video Visualization, Computer Graphics Forum, vol.1, issue.3, pp.312450-2477, 2012.
DOI : 10.1111/j.1467-8659.2012.03158.x

K. Buchin, A. Van-goethem, M. Hoffmann, M. Van-kreveld, and B. Speckmann, Travel-Time Maps: Linear Cartograms with Fixed Vertex Locations, Geographic Information Science, pp.18-33, 2014.
DOI : 10.1007/978-3-319-11593-1_2

URL : http://repository.tue.nl/777887

F. Chevalier, P. Dragicevic, A. Bezerianos, and J. Fekete, Using text animated transitions to support navigation in document histories, Proceedings of the 28th international conference on Human factors in computing systems, CHI '10, pp.683-692, 2010.
DOI : 10.1145/1753326.1753427

URL : https://hal.archives-ouvertes.fr/hal-00690289

F. Chevalier, S. Huot, and J. Fekete, WikipediaViz: Conveying article quality for casual Wikipedia readers, 2010 IEEE Pacific Visualization Symposium (PacificVis), pp.49-56, 2010.
DOI : 10.1109/PACIFICVIS.2010.5429611

URL : https://hal.archives-ouvertes.fr/inria-00550698

D. Conte, P. Foggia, C. Sansone, and M. Vento, THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION, International Journal of Pattern Recognition and Artificial Intelligence, vol.18, issue.03, pp.265-298, 2004.
DOI : 10.1142/S0218001404003228

URL : https://hal.archives-ouvertes.fr/hal-01408706

P. Dragicevic, G. Ramos, J. Bibliowitcz, D. Nowrouzezahrai, R. Balakrishnan et al., Video browsing by direct manipulation, Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems , CHI '08, pp.237-246, 2008.
DOI : 10.1145/1357054.1357096

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.139.1889

P. Dragicevic and K. Singh, Audio curves. [Online; accessed, 2006.

T. Dwyer, K. Marriott, and P. J. Stuckey, Fast Node Overlap Removal???Correction, Proc. of Graph Drawing, pp.446-447, 2007.
DOI : 10.1007/978-3-540-70904-6_44

G. Ellis and A. Dix, A Taxonomy of Clutter Reduction for Information Visualisation, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.6, pp.1216-1223, 2007.
DOI : 10.1109/TVCG.2007.70535

J. Foote, Visualizing music and audio using self-similarity, Proceedings of the seventh ACM international conference on Multimedia (Part 1) , MULTIMEDIA '99, pp.77-80, 1999.
DOI : 10.1145/319463.319472

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.223.194

U. C. For-atmospheric and . Research, How much has the global temperature risen in the last 100 years? https://www2.ucar.edu/news/ how-much-has-global-temperature-risen-last-100-years, 2015.

M. Ghoniem, J. Fekete, and P. Castagliola, A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations, IEEE Symposium on Information Visualization, pp.17-24, 2004.
DOI : 10.1109/INFVIS.2004.1

URL : https://hal.archives-ouvertes.fr/hal-00343819

A. Hardy and W. Steeb, Mathematical tools in computer graphics with C# implementations, World Scientific, 2008.
DOI : 10.1142/6725

M. Hascoët and P. Dragicevic, Interactive graph matching and visual comparison of graphs and clustered graphs, Proceedings of the International Working Conference on Advanced Visual Interfaces, AVI '12, pp.522-529, 2012.
DOI : 10.1145/2254556.2254654

K. Hinum, S. Miksch, W. Aigner, S. Ohmann, C. Popow et al., Gravi++: Interactive information visualization to explore highly structured temporal. j-jucs, pp.1792-1805, 2005.

N. Jaworska and A. Chupetlovska-anastasova, A Review of Multidimensional Scaling (MDS) and its Utility in Various Psychological Domains, Tutorials in Quantitative Methods for Psychology, vol.5, issue.1, pp.1-10, 2009.
DOI : 10.20982/tqmp.05.1.p001

J. C. Joshua, . Tenenbaum, and . Vin-de-silva, A global geometric framework for nonlinear dimensionality reduction, Science, pp.2319-2323, 2000.

D. Jurafsky and J. H. Martin, Speech and language processing, 2014.

G. Kindlmann and C. Scheidegger, An Algebraic Process for Visualization Design, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.12, pp.2181-2190, 2014.
DOI : 10.1109/TVCG.2014.2346325

P. Kundu, S. J. Inati, J. W. Evans, W. Luh, and P. A. Bandettini, Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI, NeuroImage, vol.60, issue.3, pp.1759-1770, 2012.
DOI : 10.1016/j.neuroimage.2011.12.028

M. Li, X. Chen, X. Li, B. Ma, and P. M. Vitányi, The Similarity Metric, IEEE Transactions on Information Theory, vol.50, issue.12, pp.3250-3264, 2004.
DOI : 10.1109/TIT.2004.838101

R. W. Lienhart, Comparison of automatic shot boundary detection algorithms, Proceedings of Electronic Imaging, pp.290-301, 1998.

Y. Liu, D. Zhang, G. Lu, and W. Ma, A survey of content-based image retrieval with high-level semantics, Pattern Recognition, vol.40, issue.1, pp.262-282, 2007.
DOI : 10.1016/j.patcog.2006.04.045

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

T. M. Madhyastha, M. K. Askren, P. Boord, and T. J. Grabowski, Dynamic Connectivity at Rest Predicts Attention Task Performance, Brain Connectivity, vol.5, issue.1, 2014.
DOI : 10.1089/brain.2014.0248

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4313397

W. Muller and H. Schumann, Visualization methods for time-dependent data - an overview, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), pp.737-745, 2003.
DOI : 10.1109/WSC.2003.1261490

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.7382

C. North, R. Chang, A. Endert, W. Dou, R. May et al., Analytic provenance, Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems, CHI EA '11, pp.33-36, 2011.
DOI : 10.1145/1979742.1979570

C. Perin, R. Vuillemot, and J. Fekete, SoccerStories: A Kick-off for Visual Soccer Analysis, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.12, pp.2506-2515, 2013.
DOI : 10.1109/TVCG.2013.192

URL : https://hal.archives-ouvertes.fr/hal-00846718

R. Pless, Image spaces and video trajectories: using Isomap to explore video sequences, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1433-1440, 2003.
DOI : 10.1109/ICCV.2003.1238658

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.94

J. D. Power, K. A. Barnes, A. Z. Snyder, B. L. Schlaggar, and S. E. Petersen, Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion, NeuroImage, vol.59, issue.3, pp.2142-2154, 2012.
DOI : 10.1016/j.neuroimage.2011.10.018

J. D. Power, A. Mitra, T. O. Laumann, A. Z. Snyder, B. L. Schlaggar et al., Methods to detect, characterize, and remove motion artifact in resting state fMRI, NeuroImage, vol.84, pp.320-341, 2014.
DOI : 10.1016/j.neuroimage.2013.08.048

M. Rabinovich, R. Huerta, P. Varona, and V. Afraimovich, Transient Cognitive Dynamics, Metastability, and Decision Making, PLoS Computational Biology, vol.7, issue.5, 2008.
DOI : 10.1371/journal.pcbi.1000072.g005

M. Roy, S. Schmid, and G. Tredan, Modeling and measuring graph similarity, Proceedings of the 10th ACM international workshop on Foundations of mobile computing, FOMC '14, pp.47-52, 2014.
DOI : 10.1145/2634274.2634277

URL : https://hal.archives-ouvertes.fr/hal-01010901

M. Sedlmair, M. Brehmer, S. Ingram, and T. Munzner, Dimensionality reduction in the wild: Gaps and guidance, 2012.

R. N. Shepard, The analysis of proximities: Multidimensional scaling with an unknown distance function. I., Psychometrika, vol.65, issue.2, pp.125-140, 1962.
DOI : 10.1007/BF02289630

B. Shneiderman, The eyes have it: a task by data type taxonomy for information visualizations, IEEE Symposium on Visual Languages, pp.336-343, 1996.

B. Shneiderman, Why not make interfaces better than 3d reality? Computer Graphics and Applications, IEEE, vol.23, issue.6, pp.12-15, 2003.
DOI : 10.1109/mcg.2003.1242376

W. Torgerson, Multidimensional scaling: I. Theory and method, Psychometrika, vol.3, issue.4, pp.401-419, 1952.
DOI : 10.1007/BF02288916

L. Van-der-maaten, E. O. Postma, and H. J. Van-den-herik, Dimensionality reduction: A comparative review, 2008.

F. B. Viégas, M. Wattenberg, and K. Dave, visualizations, Proceedings of the 2004 conference on Human factors in computing systems , CHI '04, pp.575-582, 2004.
DOI : 10.1145/985692.985765

M. Wattenberg, Arc diagrams: visualizing structure in strings, IEEE Symposium on Information Visualization, 2002. INFOVIS 2002., pp.110-116, 2002.
DOI : 10.1109/INFVIS.2002.1173155