Scientific Data Mining, Integration, and Visualization

Roy Williams, Bob Mann, Malcolm Atkinson, Ken Brodlie, Amos Storkey and Chris Williams (2002) Scientific Data Mining, Integration, and Visualization. In: Workshop on Scientific Data Mining Integration and Visualization, 24-25 October 2002, Edinburgh. [CaltechCACR:2002.001]

Full text available as:

PDF - Requires Adobe Acrobat Reader or other PDF viewer.

Abstract

This report summarises the workshop on Scientific Data Mining, Integration and Visualization (SDMIV) held at the e-Science Institute, Edinburgh (eSI[1] ) on 24-25 October 2002, and presents a set of recommendations arising from the discussion that took place there. The aims of the workshop were threefold: (A) To inform researchers in the SDMIV communities of the infrastructural advances being made by computing initiatives, such as the Grid; (B) To feed back requirements from the SDMIV areas to those developing the computational infrastructure; and (C) To foster interaction among all these communities, since the coordinated efforts of all of them will be required to realise the potential for scientific knowledge extraction offered by e-science initiatives worldwide.

EPrint Type:	Conference or Workshop Item (Other)
Additional Information:	Alternate location: http://www.cacr.caltech.edu/~roy/papers/sdmiv-ltr.pdf
Subjects:	All Records
ID Code:	60
Deposited By:	The Administrator
Deposited On:	16 November 2004
Record Number:	CaltechCACR:2002.001
Official Persistent URL:	http://resolver.caltech.edu/CaltechCACR:2002.001
Usage Policy:	You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format

Archive Staff Only: edit this record