A sketch+fisheye interface for visual analytics of large time-series

نویسندگان

  • Lei Ren
  • Yi Du
چکیده

This paper develops a sketch+fisheye interface supporting natural HCI in visual analysis of large multiple time-series. The sketchbased fisheye can help analysts to efficiently analyze the high density temporal data at multi-scale magnification level while maintaining the entire temporal context. The sketch-based multiple time-series query provides a natural HCI technique which is especially suitable for visual analysis of temporal curves. This sketch+fisheye interface will contribute to minimize the HCI cost and keep the consistency of thinking in visual analysis, thus enhancing analysis efficiency.

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تاریخ انتشار 2014