By Topic

Data-based Visualization of Scenario Maps on Potential Model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yukio Ohsawa ; Member, IEEE, Associate Professor, University of Tokyo, Japan. phone: 81-3-5841-7012; fax: 81-3-5841-2908; e-mail: ; Shuhei Tsuruoka

Tools for chance discovery have been used in wide range of applications, e.g. marketing, product designs, earthquake prediction. These tools visualized the map of relations among events, to be used as a scenario map for aiding users' decision in the real world. However, the network models in the basis of these existing tools, represented by KeyGraph, have been sometimes confusing due to the complex structure of the output graph. In this paper, a potential model has been introduced for easily presenting the contextual meaning underlying the links in KeyGraph. The visual outlook of the presented tool KeyBird is like the land surface of a real island with mountains and ridges, so that the users easily interprets the output and understands the deep contextual structures missing in the data. The experimental results show the successful performance of this user interface.

Published in:

2006 IEEE International Conference on Systems, Man and Cybernetics  (Volume:2 )

Date of Conference:

8-11 Oct. 2006