ChronoView: Visualization technique for many temporal data

Satoko Shiroi*, Kazuo Misue, Jiro Tanaka

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)


This paper presents a method of visualizing data that contains temporal information, such as a human's behavior and the time at which it occurs. A feature of the data is that each event may have one or more time-stamps. By analyzing this kind of data, we are able to find some behavioral patterns and obtain knowledge applicable to many fields, such as marketing research and security. We develop ChronoView, a visualization technique to support the analysis of data with temporal information. ChronoView represents an event with a set of time-stamps as a position inside a circle, similar to the dial of an analog clock. By representing each event as a position on a two-dimensional plane, we can simultaneously visualize many events and easily compare their occurrence patterns. We implement a tool based on ChronoView, which is enriched with additional functions and overcomes the drawbacks of the original system. A use case involving tweet data from Twitter illustrates the use and practicality of ChronoView.

Original languageEnglish
Title of host publication2012 16th International Conference on Information Visualisation, IV 2012
Number of pages6
Publication statusPublished - 2012 Oct 31
Externally publishedYes
Event2012 16th International Conference on Information Visualisation, IV 2012 - Montpellier, France
Duration: 2012 Jul 112012 Jul 13

Publication series

NameProceedings of the International Conference on Information Visualisation
ISSN (Print)1093-9547


Other2012 16th International Conference on Information Visualisation, IV 2012


  • event
  • periodicity
  • temporal information
  • time-stamp

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition


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