Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data

Ming Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck

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

Original languageEnglish
Title of host publicationEurographics IEEE VGTC Symposium on Visualization
Place of PublicationAire-la-Ville
PublisherEurographics Assoc.
Pages27-34
ISBN (Print)978-3-905673-45-6
DOIs
Publication statusPublished - 2007
EventEUROVIS '07 - Norrköping, Sweden
Duration: 23 May 2007 → 25 May 2007

Conference

ConferenceEUROVIS '07
CountrySweden
CityNorrköping
Period23/05/07 → 25/05/07

Fields of Expertise

  • Sonstiges

Cite this

Hao, M., Dayal, U., Keim, D. A., & Schreck, T. (2007). Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. In Eurographics IEEE VGTC Symposium on Visualization (pp. 27-34). Aire-la-Ville: Eurographics Assoc.. https://doi.org/10.2312/VisSym/EuroVis07/027-034

Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. / Hao, Ming; Dayal, Umeshwar; Keim, Daniel A.; Schreck, Tobias.

Eurographics IEEE VGTC Symposium on Visualization. Aire-la-Ville : Eurographics Assoc., 2007. p. 27-34.

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

Hao, M, Dayal, U, Keim, DA & Schreck, T 2007, Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. in Eurographics IEEE VGTC Symposium on Visualization. Eurographics Assoc., Aire-la-Ville, pp. 27-34, EUROVIS '07, Norrköping, Sweden, 23/05/07. https://doi.org/10.2312/VisSym/EuroVis07/027-034
Hao M, Dayal U, Keim DA, Schreck T. Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. In Eurographics IEEE VGTC Symposium on Visualization. Aire-la-Ville: Eurographics Assoc. 2007. p. 27-34 https://doi.org/10.2312/VisSym/EuroVis07/027-034
Hao, Ming ; Dayal, Umeshwar ; Keim, Daniel A. ; Schreck, Tobias. / Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. Eurographics IEEE VGTC Symposium on Visualization. Aire-la-Ville : Eurographics Assoc., 2007. pp. 27-34
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