By Topic

Visual interpretation of complex data

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 $31
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

1 Author(s)
Farrell, E.J. ; IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York 10598, USA

With increasingly complex digital simulations and computations, larger volumes of output are generated, and users must select a concise method of displaying the output and extracting relevant information. A set of imaging functions and display modes is developed to interpret data effectively for a wide range of applications. The imaging functions are complementary. Each function is useful for a different aspect of data interpretation. The relationships between variables and the global structures within the data are obtained with different display modes such as multiple windows and animation. With this set of complementary imaging functions and display modes, more information is obtained than with prior imaging methods. Also, more complex simulation studies are feasible since the results can now be visualized.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Systems Journal  (Volume:26 ,  Issue: 2 )