S. Chan, L. Xiao, J. Gerth, and P. Hanrahan, Maintaining interactivity while exploring massive time series, VAST, 2008.

J. Heer, S. Card, and J. Landay, prefuse, Proceedings of the SIGCHI conference on Human factors in computing systems , CHI '05, 2005.
DOI : 10.1145/1054972.1055031

J. Fekete, The InfoVis Toolkit, IEEE Symposium on Information Visualization, 2004.
DOI : 10.1109/INFVIS.2004.64
URL : https://hal.archives-ouvertes.fr/hal-00877111

D. Hull, K. Wolstencroft, R. Stevens, C. Goble, M. Pocock et al., Taverna: a tool for building and running workflows of services Project Trident: A scientific workflow workbench, Nucleic Acids Research, 2006.

A. Ailamaki, Y. E. Ioannidis, and M. Livny, Scientific workflow management by database management, Proceedings. Tenth International Conference on Scientific and Statistical Database Management (Cat. No.98TB100243), 1998.
DOI : 10.1109/SSDM.1998.688123

M. Brambilla, S. Ceri, P. Fraternali, and I. Manolescu, Process modeling in Web applications, ACM Transactions on Software Engineering and Methodology, vol.15, issue.4, 2006.
DOI : 10.1145/1178625.1178627

S. Ceri, P. Fraternali, A. Bongio, M. Brambilla, S. Comai et al., Designing Data-Intensive Web Applications, 2003.

S. Shankar, A. Kini, D. Dewitt, and J. Naughton, Integrating databases and workflow systems, SIGMOD Record, 2005.
DOI : 10.1145/1084805.1084808

I. Altintas, C. Berkley, E. Jaeger, M. Jones, B. Ludascher et al., Kepler: an extensible system for design and execution of scientific workflows, Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004., 2004.
DOI : 10.1109/SSDM.2004.1311241

S. G. Parker and C. R. Johnson, SCIRun, Proceedings of the 1995 ACM/IEEE conference on Supercomputing (CDROM) , Supercomputing '95, 1995.
DOI : 10.1145/224170.224354

A. Rygg, P. Roe, and O. Wong, GPFlow: An intuitive environment for web based scientific workflow, Proceedings of the 5th International Conference on Grid and Cooperative Computing Workshops, 2006.
DOI : 10.1002/cpe.1216

E. Anderson, S. Callahan, D. Koop, E. Santos, C. Scheidegger et al., VisTrails: Using provenance to streamline data exploration, DILS, 2007.

R. S. Barga, J. Jackson, N. Araujo, D. Guo, N. Gautam et al., Trident: Scientific Workflow Workbench for Oceanography, 2008 IEEE Congress on Services, Part I, 2008.
DOI : 10.1109/SERVICES-1.2008.101
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.1807

Z. G. Ives, T. J. Green, G. Karvounarakis, N. E. Taylor, V. Tannen et al., The ORCHESTRA Collaborative Data Sharing System, ACM SIGMOD Record, vol.37, issue.3, 2008.
DOI : 10.1145/1462571.1462577

M. R. Berthold, N. Cebron, F. Dill, T. R. Gabriel, T. Kötter et al., KNIME - the Konstanz information miner, SIGKDD Explorations, 2009.
DOI : 10.1145/1656274.1656280

E. Frank, M. A. Hall, G. Holmes, R. Kirkby, and B. Pfahringer, Weka-A Machine Learning Workbench for Data Mining, The Data Mining and Knowledge Discovery Handbook, 2005.
DOI : 10.1007/978-0-387-09823-4_66

J. Demsar, B. Zupan, G. Leban, and T. Curk, Orange: From experimental machine learning to interactive data mining, PKDD, 2004.

J. Fekete and C. Plaisant, Interactive information visualization of a million items, InfoVis, 2002.
URL : https://hal.archives-ouvertes.fr/hal-00875363

F. Chevalier, S. Huot, and J. Fekete, WikipediaViz: Conveying article quality for casual Wikipedia readers, 2010 IEEE Pacific Visualization Symposium (PacificVis), 2010.
DOI : 10.1109/PACIFICVIS.2010.5429611
URL : https://hal.archives-ouvertes.fr/inria-00550698

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

V. Tannen, Provenance for database transformations The workflow management coalition reference model, EDBT, 2010.

A. Gupta, I. S. Mumick, and V. S. Subrahmanian, Maintaining views incrementally Wild: Wall-sized interaction with large datasets, ACM SIGMOD, 1993.
DOI : 10.1145/170036.170066

O. Alliance, OSGi Service Platform, Core Specification, 2009.

A. Noack, An Energy Model for Visual Graph Clustering, Proceedings of the 11th International Symposium on Graph Drawing, ser. LNCS, 2004.
DOI : 10.1007/978-3-540-24595-7_40
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.3319