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Keywords
(7)
Design Process
Interactive Visualization
Iterative Refinement
Pattern Discovery
Qualitative Evaluation
Time Series Data
Visualization Technique
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KronoMiner: using multi-foci navigation for the visual exploration of time-series data
KronoMiner: using multi-foci navigation for the visual exploration of time-series data,10.1145/1978942.1979195,Jian Zhao,Fanny Chevalier,Ravin Balakri
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KronoMiner: using multi-foci navigation for the visual exploration of time-series data
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Jian Zhao
,
Fanny Chevalier
,
Ravin Balakrishnan
The need for
pattern discovery
in long time-series data led researchers to develop
interactive visualization
tools and analytical algorithms for gaining insight into the data. Most of the literature on time-series
data visualization
either focus on a small number of tasks or a specific domain. We propose KronoMiner, a tool that embeds new interaction and visualization techniques as well as analytical capabilities for the visual exploration of time-series data. The interface's design has been iteratively refined based on feedback from expert users.
Qualitative evaluation
with an expert user not involved in the
design process
indicates that our prototype is promising for further research.
Conference:
Computer Human Interaction - CHI
, pp. 1737-1746, 2011
DOI:
10.1145/1978942.1979195
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Citations
(1)
Exploratory Analysis of Time-Series with ChronoLenses
Jian Zhao
,
Fanny Chevalier
,
Emmanuel Pietriga
,
Ravin Balakrishnan
Journal:
IEEE Transactions on Visualization and Computer Graphics - TVCG
, vol. 17, no. 12, pp. 2422-2431, 2011