e-Science logo
 
 
About NeSC
e-Science Institute
e-Science Hub
TOE
Contacts
e-Science Events
Resources
Newsroom
Presentations & Lectures
Technical Papers
Global Grid Links
Projects
UK e-Science Centres
UK e-Science Teams
Career Opportunities
Bibliographic Database
 

 

Designer Algorithms for Astronomical Data Mining

Designer Algorithms

The Virtual Observatory era demands techniques which will allow fast, automated classification and extraction of key physical properties for very large datasets, and the ability to visualise the structure of highly multidimensional data, and extract, and study substructures in a flexible way. Fortunately, such techniques have been the subject of intensive development in the Computer Science (CS) and AI communities, and are now being increasingly deployed over a wide range of subject areas,. The aim of this proposal is to introduce such techniques into AtsroGrid with the full involvement of computer scientists who have been developing and applying them to various fields. Such developments are essential if astronomers are not to be simply overwhelmed by the volume and dimensionality of the datasets which will oon be available to them.

Maturity: Initial Research
Region: UK
Type: Pilot
Grant Value: £150,000.00
Start Date: 09/05/2005
End Date: 08/05/2008
Project Status: funded
Funding Agency:


Project Members
PI
Prof Trevor Ponman


Collaborating Organisations
University of Birmingham


Component(s) Project Develops
This project is not associated with any components at present.


Application Area(s) associated with Project
This project is not associated with any application areas at present.

 

Last Updated: 22 Jun 12 11:02
This is an archived website, preserved and hosted by the School of Physics and Astronomy at the University of Edinburgh. The School of Physics and Astronomy takes no responsibility for the content, accuracy or freshness of this website. Please email webmaster [at] ph [dot] ed [dot] ac [dot] uk for enquiries about this archive.