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Conference Paper: ZoomTree: Unrestricted zoom paths in multiscale visual analysis of relational databases
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TitleZoomTree: Unrestricted zoom paths in multiscale visual analysis of relational databases
 
AuthorsWang, B1
Chen, G1
Bu, J1
Yu, Y1 2
 
Issue Date2011
 
CitationCommunications In Computer And Information Science, 2011, v. 229 CCIS, p. 299-317 [How to Cite?]
DOI: http://dx.doi.org/10.1007/978-3-642-25382-9_21
 
AbstractUnrestricted zoom paths are much desired to gain deep understandings during visual analysis of relational databases. We present a multiscale visualization system supporting unrestricted zoom paths. Our system has a flexible visual interface on the client side, called "ZoomTree", and a powerful and efficient back end with GPU-based parallel online data cubing and CPU-based data clustering. Zoom-trees are seamlessly integrated with a table-based overview using "hyperlinks" embedded in the table, and are designed to represent the entire history of a zooming process that reveals multiscale data characteristics. Arbitrary branching and backtracking in a zoom-tree are made possible by our fast parallel online cubing algorithm for partially materialized data cubes. Partial materialization provides a good tradeoff among preprocessing time, storage and online query time. Experiments and a user study have confirmed the effectiveness of our design. © 2011 Springer-Verlag.
 
DescriptionBook title: Computer Vision, Imaging and Computer Graphics. Theory and Applications: International Joint Conference, VISIGRAPP 2010, Angers, France, May 17-21, 2010. Revised Selected Papers
 
ISSN1865-0929
2012 SCImago Journal Rankings: 0.140
 
DOIhttp://dx.doi.org/10.1007/978-3-642-25382-9_21
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorWang, B
 
dc.contributor.authorChen, G
 
dc.contributor.authorBu, J
 
dc.contributor.authorYu, Y
 
dc.date.accessioned2012-06-26T06:32:43Z
 
dc.date.available2012-06-26T06:32:43Z
 
dc.date.issued2011
 
dc.description.abstractUnrestricted zoom paths are much desired to gain deep understandings during visual analysis of relational databases. We present a multiscale visualization system supporting unrestricted zoom paths. Our system has a flexible visual interface on the client side, called "ZoomTree", and a powerful and efficient back end with GPU-based parallel online data cubing and CPU-based data clustering. Zoom-trees are seamlessly integrated with a table-based overview using "hyperlinks" embedded in the table, and are designed to represent the entire history of a zooming process that reveals multiscale data characteristics. Arbitrary branching and backtracking in a zoom-tree are made possible by our fast parallel online cubing algorithm for partially materialized data cubes. Partial materialization provides a good tradeoff among preprocessing time, storage and online query time. Experiments and a user study have confirmed the effectiveness of our design. © 2011 Springer-Verlag.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.descriptionBook title: Computer Vision, Imaging and Computer Graphics. Theory and Applications: International Joint Conference, VISIGRAPP 2010, Angers, France, May 17-21, 2010. Revised Selected Papers
 
dc.identifier.citationCommunications In Computer And Information Science, 2011, v. 229 CCIS, p. 299-317 [How to Cite?]
DOI: http://dx.doi.org/10.1007/978-3-642-25382-9_21
 
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-25382-9_21
 
dc.identifier.epage317
 
dc.identifier.hkuros200758
 
dc.identifier.issn1865-0929
2012 SCImago Journal Rankings: 0.140
 
dc.identifier.scopuseid_2-s2.0-84863270196
 
dc.identifier.spage299
 
dc.identifier.urihttp://hdl.handle.net/10722/152035
 
dc.identifier.volume229 CCIS
 
dc.languageeng
 
dc.relation.ispartofCommunications in Computer and Information Science
 
dc.relation.referencesReferences in Scopus
 
dc.titleZoomTree: Unrestricted zoom paths in multiscale visual analysis of relational databases
 
dc.typeConference_Paper
 
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Author Affiliations
  1. Zhejiang University
  2. University of Illionis at Urbana-Champaign