A space optimized scatter plot matrix visualization

Wang, WB; Huang, ML; Nguyen, QV

A space optimized scatter plot matrix visualization

Wang, WB Huang, ML

Nguyen, QV

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, 9929 LNCS pp. 382 - 385
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Wang, WB	en_US
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.author	Nguyen, QV https://orcid.org/0000-0002-0815-6224	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, 9929 LNCS pp. 382 - 385	en_US
dc.identifier.isbn	9783319467702	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/56951
dc.description.abstract	© Springer International Publishing AG 2016. This paper proposed a Space-Optimized Scatter Plot Matrix that used for the presentation of multi-dimensional dataset. This technique achieves the display space utilization in a 2D geometrical space. Our strategy is to maximize the utilization of computer space by optimizing the distribution of the plots in a geometrical plane of a display screen; We also apply interact mechanism, user query and visual cues, to support users’ communication with variables and the discovery of deeper contents.	en_US
dc.relation	http://purl.org/au-research/grants/arc/LP0669645
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-319-46771-9_50	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A space optimized scatter plot matrix visualization	en_US
dc.type	Conference Proceeding
utslib.citation.volume	9929 LNCS	en_US
utslib.for	080605 Decision Support and Group Support Systems	en_US
utslib.for	080499 Data Format not elsewhere classified	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
pubs.volume	9929 LNCS	en_US

Abstract:

© Springer International Publishing AG 2016. This paper proposed a Space-Optimized Scatter Plot Matrix that used for the presentation of multi-dimensional dataset. This technique achieves the display space utilization in a 2D geometrical space. Our strategy is to maximize the utilization of computer space by optimizing the distribution of the plots in a geometrical plane of a display screen; We also apply interact mechanism, user query and visual cues, to support users’ communication with variables and the discovery of deeper contents.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/56951