Discovering structure of data to create multiple perspective visualization

The goal of visualization is to help human understand, reason, and learn better and quicker. In pursuit of this goal, this thesis presents an architecture for intelligent visualization systems, which supports multiple perspectives in a parallel structure and offers high flexibility in the addition, deletion, and modification of different visualizations. It validates its design through a prototype containing a number of innovative arrangements and options, which effectively improved trial users' understanding.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2004

Author dc:creator

• Li, Yao, 1978-

Advisor dc:contributor.advisor

• Howard E. Shrobe and Patrick H. Winston.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/26708

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/26708