The Second Workshop on Scientific Data Mining, Integration and Visualization (SDMIV2)

14 December, 05 09:30 - 15 December, 05 17:00, e-Science Institute 15 South College Street, , Edinburgh
Organisers: Robert Mann (University of Edinburgh), Jessie Kennedy (Napier University) and Ken Brodlie (University of Leeds)

This workshop is a follow-up to the first SDMIV workshop, held at NeSC in October 2002: see http://www.nesc.ac.uk/action/esi/contribution.cfm?Title=114 for more details of that. That workshop brought together researchers from a wide range of disciplines, including astronomy, atmospheric sciences, bioinformatics, chemistry, digital libraries, engineering, environmental science, experimental physics, marine sciences, oceanography and statistics, as well as computer scientists researching data mining and visualization, and software engineers developing Grid middleware.

The principal result of the first SDMIV workshop was to identify common problems affecting a wide range of scientific disciplines. Many sciences are experiencing an exponential expansion in the volume of available data, and are looking to data mining and visualization as providing ways to start extracting scientific knowledge from these data. Many data mining and visualization tools are available, but these are not always well matched to the requirements of science or the scalability challenges that the new data volumes present. Most researchers want to explore distributed data sources, which have often been developed independently and without account being taken of interoperability requirements.

This second SDMIV workshop will review what progress has been made towards solving the common problems identifed during the first workshop three years ago. Topics to be addressed might include:

• Interoperability of data mining and visualization tools
• Scalability issues in data mining and visualization
• Case studies of data mining, integration and visualization in e-science
• Integration of data mining and visualization into e-science workflows
• The mining and visualization of distributed data
• Collaborative data mining and visualization
• Metadata issues connected with data integration

Dinner will be held at the Novotel.

Target Audience

Researchers from the wide range of scientific disciplines facing the need to explore large and/or distributed datasets. Computer scientists researching data mining and visualization. Software engineers designing and building the Grid middleware which might support these data exploration activities.

Programme

A programme is available at http://www.nesc.ac.uk/esi/events/642/programme.cfm.

Registration for this event is now closed. To enquire about an application or to cancel a previous application please contact NeSC Administration.

Important Dates

10 Nov - Registration Opens
07 Dec - Registration Deadline
07 Dec - Date we will respond to your application by (Please note this is the latest date we will respond to your application. It is normal policy for us to respond within 5 working days where possible.)
14 Dec - Event Starts at 09:30hrs