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PixVid: Capturing Temporal Correlated Changes in Time Series
Department of Computer Science and Technology, Donghua University, Shanghai, China.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Department of Information Systems and Technology, Mid Sweden University, Sundsvall, Sweden.ORCID iD: 0000-0001-5808-1382
2017 (English)In: Proceedings - 5th International Conference on Advanced Cloud and Big Data, CBD 2017, 2017, p. 337-342Conference paper, Published paper (Refereed)
Abstract [en]

Time series is one of the main research domains in variety of disciplines. Visualization is an important mechanism to present the raw data as well as the processed time series for further analysis. Many successful visualization techniques have been reported recently. However, most of these techniques display data statically, intending to show as much information as possible by one image or plot. We propose PixVid, a visualization technique which orders the dimensions by constructing a hierarchal dimension cluster tree, and then uses a pixel-oriented technique to form images and displays the data in video format.

Place, publisher, year, edition, pages
2017. p. 337-342
National Category
Computer Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-62055ISBN: 9781538610725 (print)OAI: oai:DiVA.org:mdh-62055DiVA, id: diva2:1742773
Conference
5th International Conference on Advanced Cloud and Big Data, CBD 2017, Shanghai, 13 August 2017, through 16 August 2017
Available from: 2023-03-10 Created: 2023-03-10 Last updated: 2023-03-21Bibliographically approved

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Lavassani, Mehrzad

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  • apa
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  • nn-NO
  • nn-NB
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  • text
  • asciidoc
  • rtf