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A model-driven approach to design pattern visualization and evolutions /Yang, Sheng, January 2006 (has links)
Thesis (Ph. D.)--University of Texas at Dallas, 2006. / Includes vita. Includes bibliographical references (leaves 182-189).
2-D and 3-D layouts to aid human cognition of local structure in multivariate dataSun, Ru. January 2008 (has links)
Thesis (Ph.D.)--George Mason University, 2008. / Vita: p. 131. Thesis director: Daniel B. Carr. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computational Sciences and Informatics. Title from PDF t.p. (viewed Aug. 28, 2008). Includes bibliographical references (p. 123-130). Also issued in print.
A General Framework for Multi-Resolution VisualizationYang, Jing. January 2005 (has links)
Dissertation (Ph.D.) -- Worcester Polytechnic Institute. / Keywords: Multi-Dimensional Visualization; High-Dimensional Data Set; Information Visualization; Framework; Visualization; Multi-Resolution. Includes bibliographical references (p. 172-186).
Feature tracking and viewing for time-varying data setsJi, Guangfeng. January 2006 (has links)
Thesis (Ph. D.)--Ohio State University, 2006. / Available online via OhioLINK's ETD Center; full text release delayed at author's request until 2007 May 25
Population, pollution, and visibility :creative coding for data visualization / Creative coding for data visualizationChao, Hei In January 2017 (has links)
University of Macau / Faculty of Social Sciences / Department of Communication
Design Study to Visualize Stock Market Bubble Formations and BurstsIyer, Sruthi Ganesan 23 June 2014 (has links)
The stock market is a very complex and continuously changing environment in which many varying factors shape its growth and decline. Studying interesting trends and analyzing the intricate movements of the market, while ignoring distracting and uninteresting patterns has the potential to save large amounts of money for individuals as well as corporations and governments. This thesis describes research that was conducted with the goal to visualize stock market data in such a way that it is able to show how behavior and movement of various market entities affects the condition of the market as a whole. Different visualizations have been proposed, some that improve on existing traditional methods used by the Finance community and others that are novel in their layout and representation of data and interactions. The proposed design, by the use of interactive multiple coordinated views showing overviews and details of the stock market data using animated bubble charts and statistics, aims to enable the user to visualize market conditions that lead to the formation of a bubble in the market, how they lead to a crash and how the market corrects itself after such a crash. / Master of Science
Visual clustering in parallel coordinates and graphs /Zhou, Hong. January 2009 (has links)
Includes bibliographical references (p. 103-111).
Quality enhancement and relation-aware exploration pipeline for volume visualization /Chan, Ming-Yuen. January 2009 (has links)
Includes bibliographical references (p. 95-104).
Assisting reading and analysis of text documents by visualization /Maloney, Ross J. January 2005 (has links)
Thesis (Ph.D.)--Murdoch University, 2005. / Thesis submitted to the Division of Arts. Bibliography: leaves 406-421.
A comprehensive parallel coordinates system for air pollution analysis /Chung, Peter Kai-Lun. January 2008 (has links)
Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2008. / Includes bibliographical references (leaves 68-72). Also available in electronic version.
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