A Space-Filling Multidimensional Visualization (SFMDVis) for exploratory data analysis

Huang, TH; Huang, ML; Nguyen, QV; Zhao, L

A Space-Filling Multidimensional Visualization (SFMDVis) for exploratory data analysis

Huang, TH Huang, ML

Nguyen, QV Zhao, L

Permalink

Publication Type:: Conference Proceeding
Citation:: ACM International Conference Proceeding Series, 2014, 2014-August (August), pp. 19 - 28
Issue Date:: 2014-01-01

Closed Access

	Filename	Description	Size
	vinci2014_paper_Huang.pdf	Accepted Manuscript version	1.11 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Huang, TH	en_US
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.author	Nguyen, QV	en_US
dc.contributor.author	Zhao, L	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	ACM International Conference Proceeding Series, 2014, 2014-August (August), pp. 19 - 28	en_US
dc.identifier.uri	http://hdl.handle.net/10453/40691
dc.description.abstract	Copyright 2014 ACM. We introduce a new Space-Filling Multidimensional Data Visualization (SFMDVis) that can be used to facilitate the viewing, interaction and analysis of the multidimensional data with a fully utilized display space. The existing multidimensional visualizations typically create visual clutter and over-plotting that make it difficult for interaction with data items directly. Our new space filling technique uses horizontal lines to represent multidimensional data items. Each line is logically divided into segments based on color mapping in order to denote the data item with its value. The proposed visualization is space efficient and also avoids the visual clutter and over-plotting problems as we have often observed in other visualizations. In addition, we allow user to interact directly with data on the display which is more intuitive and efficient than other means.	en_US
dc.relation	http://purl.org/au-research/grants/arc/LP0669645
dc.relation.ispartof	ACM International Conference Proceeding Series	en_US
dc.relation.isbasedon	10.1145/2636240.2636841	en_US
dc.title	A Space-Filling Multidimensional Visualization (SFMDVis) for exploratory data analysis	en_US
dc.type	Conference Proceeding
utslib.citation.volume	August	en_US
utslib.citation.volume	2014-August	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
utslib.copyright.status	closed_access
pubs.issue	August	en_US
pubs.publication-status	Published	en_US
pubs.volume	2014-August	en_US

Abstract:

Copyright 2014 ACM. We introduce a new Space-Filling Multidimensional Data Visualization (SFMDVis) that can be used to facilitate the viewing, interaction and analysis of the multidimensional data with a fully utilized display space. The existing multidimensional visualizations typically create visual clutter and over-plotting that make it difficult for interaction with data items directly. Our new space filling technique uses horizontal lines to represent multidimensional data items. Each line is logically divided into segments based on color mapping in order to denote the data item with its value. The proposed visualization is space efficient and also avoids the visual clutter and over-plotting problems as we have often observed in other visualizations. In addition, we allow user to interact directly with data on the display which is more intuitive and efficient than other means.

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

http://hdl.handle.net/10453/40691