Cart (Loading....) | Create Account
Close category search window
 

Displaying data in multidimensional relevance space with 2D visualization maps

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
$31 $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

3 Author(s)
Assa, J. ; Dept. of Comput. Sci., Tel Aviv Univ., Israel ; Cohen-Or, D. ; Milo, T.

The paper introduces a tool for visualizing a multidimensional relevance space. Abstractly, the information to be displayed consists of a large number of objects, a set of features that are likely to be of interest to the user, and some function that measures the relevance level of every object to the various features. The goal is to provide the user with a concise and comprehensible visualization of that information. For the type of applications concentrated on, the exact relevance measures of the objects are not significant. This enables accuracy to be traded for a clearer display. The idea is to "flatten" the multidimensionality of the feature space into a 2D "relevance map", capturing the inter-relations among the features, without causing too many ambiguous interpretations of the results. To better reflect the nature of the data and to resolve the ambiguity the authors refine the given set of features and introduce the notion of composed features. The layout of the map is then obtained by grading it according to a set of rules and using a simulated annealing algorithm which optimizes the layout with respect to these rules. The technique proposed has been implemented and tested, in the context of visualizing the result of a Web search, in the RMAP (Relevance Map) prototype system.

Published in:

Visualization '97., Proceedings

Date of Conference:

24-24 Oct. 1997

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.