Parallel coordinates visualization of large data investigation on HDDs

Wang, W; Huang, ML

Parallel coordinates visualization of large data investigation on HDDs

Wang, W Huang, ML

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 10th International Conference Computer Graphics, Imaging, and Visualization, CGIV 2013, 2013, pp. 93 - 99
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Wang, W	en_US
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	Proceedings - 10th International Conference Computer Graphics, Imaging, and Visualization, CGIV 2013, 2013, pp. 93 - 99	en_US
dc.identifier.isbn	9780769550510	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27521
dc.description.abstract	Data Visualization and Visual Analytics (DVVA) techniques help human to extract essential information and knowledge from large and complex data sets, and then represent them clearly and comprehensively in the graphic format for better understanding. These techniques have been successfully applied in many areas, including the application in computer forensic science. This paper discusses the background, approaches to the visual analysis of typical computer forensic data. Primarily we will look at how visualization techniques can enhance the computer forensics task, and proposes a new model with a set of data attributes for visual analytics of computer forensics. © 2013 IEEE.	en_US
dc.relation.ispartof	Proceedings - 10th International Conference Computer Graphics, Imaging, and Visualization, CGIV 2013	en_US
dc.relation.isbasedon	10.1109/CGIV.2013.24	en_US
dc.title	Parallel coordinates visualization of large data investigation on HDDs	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Macau	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Data Visualization and Visual Analytics (DVVA) techniques help human to extract essential information and knowledge from large and complex data sets, and then represent them clearly and comprehensively in the graphic format for better understanding. These techniques have been successfully applied in many areas, including the application in computer forensic science. This paper discusses the background, approaches to the visual analysis of typical computer forensic data. Primarily we will look at how visualization techniques can enhance the computer forensics task, and proposes a new model with a set of data attributes for visual analytics of computer forensics. © 2013 IEEE.

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http://hdl.handle.net/10453/27521