Context visualization for visual data mining

Huang, ML; Nguyen, QV

Context visualization for visual data mining

Huang, ML

Nguyen, QV

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Publication Type:: Chapter
Citation:: 2008, 4404 LNCS pp. 248 - 263
Issue Date:: 2008-08-29

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Field	Value	Language
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.author	Nguyen, QV	en_US
dc.date.issued	2008-08-29	en_US
dc.identifier.citation	2008, 4404 LNCS pp. 248 - 263	en_US
dc.identifier.isbn	3540710795	en_US
dc.identifier.isbn	9783540710790	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12745
dc.description.abstract	Context and history visualization plays an important role in visual data mining especially in the visual exploration of large and complex data sets. The preservation of context and history information in the visualization can improve user comprehension of the exploration process as well as enhance the reusability of mining techniques and parameters to archive the desired results. This chapter presents methodology and various interactive visualization techniques supporting visual data mining in general as well as for visual preservation of context and history information. Algorithms are also described in supporting such methodology for visual data mining in real time. © 2008 Springer-Verlag Berlin Heidelberg.	en_US
dc.relation.isbasedon	10.1007/978-3-540-71080-6_16	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Context visualization for visual data mining	en_US
dc.type	Chapter
utslib.citation.volume	4404 LNCS	en_US
utslib.for	0803 Computer Software	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.publication-status	Published	en_US
pubs.volume	4404 LNCS	en_US

Abstract:

Context and history visualization plays an important role in visual data mining especially in the visual exploration of large and complex data sets. The preservation of context and history information in the visualization can improve user comprehension of the exploration process as well as enhance the reusability of mining techniques and parameters to archive the desired results. This chapter presents methodology and various interactive visualization techniques supporting visual data mining in general as well as for visual preservation of context and history information. Algorithms are also described in supporting such methodology for visual data mining in real time. © 2008 Springer-Verlag Berlin Heidelberg.

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http://hdl.handle.net/10453/12745