Abstract
Time-tunnel proposed by Akaishi et al. is a multidimensional data analysis tool. Time-tunnel visualizes any number of time series numerical data records as individual charts each of which is displayed on an individual rectangular plane called data-wing in a 3D virtual space. Through direct manipulations on a computer screen, the user easily puts more than two data-wings overlapped together to compare their charts in order to recognize the similarity or the difference among those data records. Simultaneously a radar chart among those data at any time point is displayed to recognize the similarity and the correlation among them. Since only one chart is displayed on one data-wing, so if there is a number of data records, the user has to prepare accordingly a huge number of data-wings and practically it becomes impossible to manipulate them. To deal with this problem, the authors enhanced the functionality of Time-tunnel to enable it to display more than two charts on each data-wing. In other word, the authors made each data-wing have the functionality of the Parallel Coordinates. This paper proposes the usefulness of this enhancement of Time-tunnel by showing data analysis examples.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Conference on Computer Graphics, Imaging and Vision |
| Subtitle of host publication | New Trends 2005 |
| Pages | 167-172 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - Dec 1 2005 |
| Event | 2nd Conference on Computer Graphics, Imaging, and Vision: New Trends 2005 - Beijing, China Duration: Jul 26 2005 → Jul 29 2005 |
Publication series
| Name | Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005 |
|---|---|
| Volume | 2005 |
Other
| Other | 2nd Conference on Computer Graphics, Imaging, and Vision: New Trends 2005 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 7/26/05 → 7/29/05 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
Time-tunnel : Visual analysis tool for time-series numerical data and its extension toward Parallel Coordinates. / Notsu, Hirokazu; Okada, Yoshihiro; Akaishi, Mina; Niijima, Koichi.
Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005. 2005. p. 167-172 1521058 (Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005; Vol. 2005).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Time-tunnel
T2 - Visual analysis tool for time-series numerical data and its extension toward Parallel Coordinates
AU - Notsu, Hirokazu
AU - Okada, Yoshihiro
AU - Akaishi, Mina
AU - Niijima, Koichi
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Time-tunnel proposed by Akaishi et al. is a multidimensional data analysis tool. Time-tunnel visualizes any number of time series numerical data records as individual charts each of which is displayed on an individual rectangular plane called data-wing in a 3D virtual space. Through direct manipulations on a computer screen, the user easily puts more than two data-wings overlapped together to compare their charts in order to recognize the similarity or the difference among those data records. Simultaneously a radar chart among those data at any time point is displayed to recognize the similarity and the correlation among them. Since only one chart is displayed on one data-wing, so if there is a number of data records, the user has to prepare accordingly a huge number of data-wings and practically it becomes impossible to manipulate them. To deal with this problem, the authors enhanced the functionality of Time-tunnel to enable it to display more than two charts on each data-wing. In other word, the authors made each data-wing have the functionality of the Parallel Coordinates. This paper proposes the usefulness of this enhancement of Time-tunnel by showing data analysis examples.
AB - Time-tunnel proposed by Akaishi et al. is a multidimensional data analysis tool. Time-tunnel visualizes any number of time series numerical data records as individual charts each of which is displayed on an individual rectangular plane called data-wing in a 3D virtual space. Through direct manipulations on a computer screen, the user easily puts more than two data-wings overlapped together to compare their charts in order to recognize the similarity or the difference among those data records. Simultaneously a radar chart among those data at any time point is displayed to recognize the similarity and the correlation among them. Since only one chart is displayed on one data-wing, so if there is a number of data records, the user has to prepare accordingly a huge number of data-wings and practically it becomes impossible to manipulate them. To deal with this problem, the authors enhanced the functionality of Time-tunnel to enable it to display more than two charts on each data-wing. In other word, the authors made each data-wing have the functionality of the Parallel Coordinates. This paper proposes the usefulness of this enhancement of Time-tunnel by showing data analysis examples.
UR - http://www.scopus.com/inward/record.url?scp=33748864604&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33748864604&partnerID=8YFLogxK
U2 - 10.1109/CGIV.2005.79
DO - 10.1109/CGIV.2005.79
M3 - Conference contribution
AN - SCOPUS:33748864604
SN - 0769523927
SN - 9780769523927
T3 - Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005
SP - 167
EP - 172
BT - Proceedings of the Conference on Computer Graphics, Imaging and Vision
ER -