TY - GEN
T1 - Interactive analysis of multidimensional data on the web by using time-tunnel
AU - Okajima, Seiji
AU - Okada, Yoshihiro
PY - 2009/7/21
Y1 - 2009/7/21
N2 - In recent years, the Internet has become popular in various application fields so that a huge number of data records are generated and stored on the web. In this situation, we need any tool that helps us to analyze such multidimensional data for obtaining new findings from those data. In this paper, we introduce a visual and interactive analysis tool for multidimensional data called Time-tunnel. 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. This time, the authors extended Time-tunnel to make it available n the web and this paper clarifies the usefulness of web-version Time-tunnel by showing practical analysis examples.
AB - In recent years, the Internet has become popular in various application fields so that a huge number of data records are generated and stored on the web. In this situation, we need any tool that helps us to analyze such multidimensional data for obtaining new findings from those data. In this paper, we introduce a visual and interactive analysis tool for multidimensional data called Time-tunnel. 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. This time, the authors extended Time-tunnel to make it available n the web and this paper clarifies the usefulness of web-version Time-tunnel by showing practical analysis examples.
UR - http://www.scopus.com/inward/record.url?scp=67650556977&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67650556977&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:67650556977
SN - 9789898111814
T3 - WEBIST 2009 - Proceedings of the 5th International Conference on Web Information Systems and Technologies
SP - 415
EP - 418
BT - WEBIST 2009 - Proceedings of the 5th International Conference on Web Information Systems and Technologies
T2 - 5th International Conference on Web Information Systems and Technologies, WEBIST 2009
Y2 - 22 March 2009 through 25 March 2009
ER -