Fused visualization of complex information spaces

Quan, W

Fused visualization of complex information spaces

Quan, W

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Publication Type:: Thesis
Issue Date:: 2006

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Field	Value	Language
dc.contributor.author	Quan, W
dc.date.accessioned	2015-10-22T00:14:56Z
dc.date.available	2015-10-22T00:14:56Z
dc.date.issued	2006
dc.identifier.uri	http://hdl.handle.net/10453/37539
dc.description	University of Technology, Sydney. Faculty of Information Technology.	en_US
dc.description.abstract	With the rapid growth of information analysis and data mining technologies, the massive data sets available for access have been merged and refined to manifold information, including raw data and all kinds of analytical results. Since data sets become increasingly complex, the current visual analytical techniques no longer satisfy the needs of exploring and analyzing data. This situation raises the challenges in the current state of information visualization: 1) Due to the complexity of information, sometimes it is unlikely to use a single visual metaphor to model the intricate information well in a single visualization. 2) Each existing visualization method has its own limitations in terms of satisfying domain specific requirements, when dealing with complex data sets. The proposed fused visualization methodology attempts to address the above issues by combining multiple existing visualization techniques in a single visualization. It takes the advantages and reduces the weaknesses of the existing methods. We have successfully applied this methodology to each stage of the proposed Analytical Information Visualization. In particular, three fused visualization techniques are developed to improve the quality of existing techniques. First, a fused visual metaphor that combines two visual metaphors in a single visualization allows users to navigate spatially referenced information across two different metaphors. Second, a fused layout algorithm that combines two graph drawing methods achieves the fast convergence in geometric layout for the force-directed layout algorithm; Third, a fused viewing technique that combines ID and 2D distortional visual viewing methods in one browser resolves the inefficient space utilization problem. Moreover, the fused layout algorithm has been evaluated against other existing force-directed layout algorithms. Two case studies that apply our techniques to an outbreak management system and an online bookstore respectively have been delivered.	en_US
dc.format	Thesis (PhD)	en_US
dc.language.iso	en	en_US
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/37539/9/02Whole.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	au.edu.uts.lib/ppc
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.subject	Data mining technologies.	en_US
dc.subject	Complex information spaces.	en_US
dc.subject	Fused visualization.	en_US
dc.subject	Analytical Information Visualization.	en_US
dc.title	Fused visualization of complex information spaces	en_US
dc.type	Thesis
utslib.copyright.status	open_access

Abstract:

With the rapid growth of information analysis and data mining technologies, the massive data sets available for access have been merged and refined to manifold information, including raw data and all kinds of analytical results. Since data sets become increasingly complex, the current visual analytical techniques no longer satisfy the needs of exploring and analyzing data. This situation raises the challenges in the current state of information visualization: 1) Due to the complexity of information, sometimes it is unlikely to use a single visual metaphor to model the intricate information well in a single visualization. 2) Each existing visualization method has its own limitations in terms of satisfying domain specific requirements, when dealing with complex data sets. The proposed fused visualization methodology attempts to address the above issues by combining multiple existing visualization techniques in a single visualization. It takes the advantages and reduces the weaknesses of the existing methods. We have successfully applied this methodology to each stage of the proposed Analytical Information Visualization. In particular, three fused visualization techniques are developed to improve the quality of existing techniques. First, a fused visual metaphor that combines two visual metaphors in a single visualization allows users to navigate spatially referenced information across two different metaphors. Second, a fused layout algorithm that combines two graph drawing methods achieves the fast convergence in geometric layout for the force-directed layout algorithm; Third, a fused viewing technique that combines ID and 2D distortional visual viewing methods in one browser resolves the inefficient space utilization problem. Moreover, the fused layout algorithm has been evaluated against other existing force-directed layout algorithms. Two case studies that apply our techniques to an outbreak management system and an online bookstore respectively have been delivered.

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http://hdl.handle.net/10453/37539