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representation. Therefore, we found that we could show different features
of the same event in ChronoView by comparing multiple data from
different periods.
Conclusion
In this chapter, we proposed use of ChronoView as a technique to
visualize data containing temporal information. One of the most important
features of ChronoView is that it represents a set of time-stamps as a
position on a two-dimensional plane. This can be used to visualize many
events with one or more time-stamps. Some attributes of the events can
also be represented visually. Using this technique, we could grasp some
features about the periodicity of the events' occurrence. Moreover, we
were able to observe the distribution of an event's time-stamps by adding
radial lines and switching between three view-types.
We performed a use case study that focused on tweet data from Twitter
to demonstrate the use of ChronoView. This showed the usefulness and
effectiveness of ChronoView for analysing tweet data. ChronoView can be
applied not only to tweet data, but also to other data with temporal
information, e.g., web page access logs and product sales histories. In
future work, we will display the versatility of ChronoView by performing
several case studies.
References
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[3] Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, and Christian Tominski,
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Shneiderman, “Interactive Pattern Search in Time Series,” Proceedings of
Conference on Visualization and Data Analysis (VDA 2005) , pp. 175-186
(2005).
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