VDM@ICDM 2003 : Proceedings 3rd International Workshop on Visual Data Mining

VDM@ICDM 2003 : Proceedings 3rd International Workshop on Visual Data Mining

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Publisher:: University of Technology Sydney
Publication Type:: Conference
Citation:: Simoff, S., Noirhomme-Fraiture, M., Böhlen, M.H. and Ankerst, M. (eds.), VDM@ICDM 2003 : Proceedings 3rd International Workshop on Visual Data Mining, UTS, 2003
Issue Date:: 2003

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Field	Value	Language
dc.contributor.editor	Simoff, S
dc.contributor.editor	Noirhomme-Fraiture, M
dc.contributor.editor	Böhlen, MH
dc.contributor.editor	Ankerst, M
dc.date.accessioned	2025-01-21T07:12:09Z
dc.date.available	2025-01-21T07:12:09Z
dc.date.issued	2003
dc.identifier.citation	Simoff, S., Noirhomme-Fraiture, M., Böhlen, M.H. and Ankerst, M. (eds.), VDM@ICDM 2003 : Proceedings 3rd International Workshop on Visual Data Mining, UTS, 2003
dc.identifier.uri	http://hdl.handle.net/10453/183974
dc.description.abstract	VDM@ICDM 2003 was held in conjunction with ICDM 2003 : the Third IEEE International Conference on Data Mining, November 19-22, 2003, Melbourne, Florida, USA. ---- Seeing may be believing or disbelieving, but above all, data analysis involves visual, as well as statistical, understanding. This phenomenon, pointed by John W. Tukey, was the motivation for organising the visual data mining workshop series. Participants in the workshop series consider 'visual data mining' as a collection of interactive reflective methods that support exploration of data sets by dynamically adjusting parameters to see how they affect the information being presented. This emerging area in explorative and intelligent data analysis and mining is based on the integration of concepts from computer graphics, visualisation metaphors and methods, information and scientific data visualisation, visual perception, cognitive psychology, diagrammatic reasoning, visual data formatting and 3D collaborative virtual environments for information visualisation. It offers machine learning and data mining community powerful means of analysis that can assist in uncovering patterns and trends that are likely to be missed with other non-visual methods. Visual data mining techniques offer the luxury of being able to make observations without preconception. The goal of the workshop was to provide a forum for presentation and discussion of the newest ideas, research and developments in visual data mining and supporting disciplines, and to identify the short- and long-term research directions in the field.
dc.language	en
dc.publisher	University of Technology Sydney
dc.rights	info:eu-repo/semantics/openAccess
dc.title	VDM@ICDM 2003 : Proceedings 3rd International Workshop on Visual Data Mining
dc.type	Conference
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/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Australian Artificial Intelligence Institute (AAII)
pubs.organisational-group	University of Technology Sydney/UTS Groups/Australian Artificial Intelligence Institute (AAII)/Australian Artificial Intelligence Institute (AAII) Associate Members
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2025-01-21T07:12:07Z
pubs.place-of-publication	Sydney, NSW
pubs.publication-status	Published
dc.location	Sydney, NSW

Abstract:

VDM@ICDM 2003 was held in conjunction with ICDM 2003 : the Third IEEE International Conference on Data Mining, November 19-22, 2003, Melbourne, Florida, USA. ---- Seeing may be believing or disbelieving, but above all, data analysis involves visual, as well as statistical, understanding. This phenomenon, pointed by John W. Tukey, was the motivation for organising the visual data mining workshop series. Participants in the workshop series consider 'visual data mining' as a collection of interactive reflective methods that support exploration of data sets by dynamically adjusting parameters to see how they affect the information being presented. This emerging area in explorative and intelligent data analysis and mining is based on the integration of concepts from computer graphics, visualisation metaphors and methods, information and scientific data visualisation, visual perception, cognitive psychology, diagrammatic reasoning, visual data formatting and 3D collaborative virtual environments for information visualisation. It offers machine learning and data mining community powerful means of analysis that can assist in uncovering patterns and trends that are likely to be missed with other non-visual methods. Visual data mining techniques offer the luxury of being able to make observations without preconception. The goal of the workshop was to provide a forum for presentation and discussion of the newest ideas, research and developments in visual data mining and supporting disciplines, and to identify the short- and long-term research directions in the field.

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http://hdl.handle.net/10453/183974