Visual Analytics for the Big Data Era -- A Comparative Review of State-of-the-Art Commercial Systems

Leishi Zhang; Andreas Stoffel; Michael Behrisch; Sebastian Mittelstädt; Tobias Schreck; René Pompl; Stefan Weber; Holger Last; Daniel A. Keim

doi:10.1109/VAST.2012.6400554

Visual Analytics for the Big Data Era -- A Comparative Review of State-of-the-Art Commercial Systems

Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, René Pompl, Stefan Weber, Holger Last, Daniel A. Keim

Institute of Computer Graphics and Knowledge Visualisation (7110)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
Publisher	Institute of Electrical and Electronics Engineers
Pages	173-182
ISBN (Print)	978-1-4673-4752-5
DOIs	https://doi.org/10.1109/VAST.2012.6400554
Publication status	Published - 2012

Fields of Expertise

Sonstiges

Access to Document

10.1109/VAST.2012.6400554

Cite this

Zhang, L., Stoffel, A., Behrisch, M., Mittelstädt, S., Schreck, T., Pompl, R., Weber, S., Last, H., & Keim, D. A. (2012). Visual Analytics for the Big Data Era -- A Comparative Review of State-of-the-Art Commercial Systems. In 2012 IEEE Conference on Visual Analytics Science and Technology (VAST) (pp. 173-182). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VAST.2012.6400554

Visual Analytics for the Big Data Era -- A Comparative Review of State-of-the-Art Commercial Systems. / Zhang, Leishi; Stoffel, Andreas; Behrisch, Michael et al.
2012 IEEE Conference on Visual Analytics Science and Technology (VAST). Institute of Electrical and Electronics Engineers, 2012. p. 173-182.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Zhang, L, Stoffel, A, Behrisch, M, Mittelstädt, S, Schreck, T, Pompl, R, Weber, S, Last, H & Keim, DA 2012, Visual Analytics for the Big Data Era -- A Comparative Review of State-of-the-Art Commercial Systems. in 2012 IEEE Conference on Visual Analytics Science and Technology (VAST). Institute of Electrical and Electronics Engineers, pp. 173-182. https://doi.org/10.1109/VAST.2012.6400554

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