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      Visualisation of Parallel Data Streams with Temporal Mosaics

      Luz, Saturnino; Masoodian, Masood
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      Visualisation of parallel data streams with temporal mosaics.pdf
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      DOI
       10.1109/IV.2007.127
      Link
       ieeexplore.ieee.org
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      Citation
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      Luz, S. & Masoodian, M. (2007). Visualisation of Parallel Data Streams with Temporal Mosaics. In Proceedings of 11th International Conference Information Visualization, July 04-06, 2007(pp. 197-202). Washington, DC, USA: IEEE Computer Society.
      Permanent Research Commons link: https://hdl.handle.net/10289/1781
      Abstract
      Despite its popularity and widespread use, timeline visualisation suffers from shortcomings which limit its use for displaying multiple data streams when the number of streams increases to more than a handful. This paper presents the TemporalMosaic technique for visualisation of parallel time-based streams which addresses some of these shortcomings. Temporal mosaics provide a compact way of representing parallel streams of events by allocating a fixed drawing area to time intervals and partitioning that area according to the number of concurrent events. A user study is presented which compares this technique to a standard timeline representation technique in which events are depicted as horizontal bars and multiple streams are drawn in parallel along a vertical axis. Results of this user study show that users of the temporal mosaic visualisation perform significantly better at detecting concurrency, interval overlaps and inactivity than users of standard timelines.
      Date
      2007
      Type
      Conference Contribution
      Publisher
      IEEE Computer Society
      Rights
      This article has been published in the Proceedings of the 11th International Conference Information Visualization, July 04-06,2007. © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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