e-science and data mining

30 November, 04 09:00 AM - 01 December, 04 05:00 PM

e-Science Institute, 15 South College Street, , Edinburgh

Organiser:

Dr Robert Mann

 

Any slides or other material generated as a result of this event can be found at: www.nesc.ac.uk/action/esi/contribution.cfm?Title=483

 

This workshop will be organised by the nascent e-Science Data Mining Special Interest Group (esdm-sig) and by SC4DEVO, one of the four international "sister project" initiatives currently funded by the e-Science Core Programme through EPSRC. The esdm-sig aims to provide a forum for discussing e-Science data mining issues, and to foster research towards their solution, by bringing together the application scientists who will use data mining in their research, the computer science researchers developing data mining algorithms and the software engineers creating the computational infrastructure within which they will be run. SC4DEVO has similar aims, but with a particular focus on astronomy; note, however, that this workshop will cover all e-Science application areas.

Agenda

Day 1: Tuesday, Nov 30th:
09.00 Coffee
Session 1: Introduction and Context
09.30 Welcome to NeSC
09.35 Intro to workshop and to esdm-sig (Bob Mann, Edinburgh)
10.00 Report on esdm-sig questionnaire (Amos Storkey, Edinburgh)
10.30 coffee
Session 2: Application Drivers
11.00 GridMiner: A Framework for Knowledge Discovery on the Grid - Scientific Drivers and Contributions (Peter Brezany, Vienna)
11.30 Gridding the Sky (Andy Connolly, University of Pittsburgh)
12.00 Conventional and myGrid approaches to data mining in bioinformatics (Peter Li, University of Newcastle)
12.30 lunch
Session 3: Scalability Issues
13.15 Data Mining for Big Science: invited review (Andrew Moore, Carnegie Mellon)
14.15 Scalability in astronomical data sets, from a database systems perspective (Dave Abel, CSIRO)
14.30 TBC
15.00 tea
Session 4: Web and Grid Service Implementations
15.30 GridMiner: Design and Underlying Grid Technologies (Ivan Janciak, Vienna)
16.00 Constructing Data Mining Applications based on Web Services Composition (Ali Shaikh Ali, Cardiff)
16.30 INWA: using OGSA-DAI between the UK, Australia and China (Terry Sloan, EPCC)
17.00 Close of day 1


Day 2: Wednesday, Dec 1st:
Session 5: Mining Distributed Data Sources
09.00 Pattern Matching against Distributed Datasets with DAME (Andy Pasley, York)
09:30 Distribute data mining within Discovery Net (Mustafa
Ghanem, Imperial College)
10:00 GEDDM: commercial data mining using distributed resources
(Mark Prentice, Queen's University Belfast)
10.30 coffee
Session 6: Text mining
11.00 The UK National Centre for Text Mining (John Keane, School of Informatics, UMIST)
11.15 Statistical Parsing for Information Extraction from Scientific Articles (Ted Briscoe, Computer Laboratory, Cambridge University)
11.40 From BioNER to AstroNER: Porting Named Entity Recognition to a new domain (Claire Grover, School of Informatics, University of Edinburgh)
12.05 Text Mining and e-Science: A Marriage Made in Heaven (Moustafa Ghanem, Department of Computing, Imperial College of Science, Technology and Medicine)
Session 7: Break-out Discussions
12.30 Define break-out discussion groups
12.45 lunch
Session 7 (cont'd)
13.30 Break-out discussion groups
15.00 tea
Session 8: Report back and next steps
15.30 Report back from discussion groups
16.30 Next steps for the esdm-sig
17.00 Close of workshop.

The National e-Science Centre, e-Science Institute in Edinburgh is a centre for education and research for e-Science, and provides new state-of-the art facilities including an Access Grid system.

Bookings

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

Enquiries

Enquiries should be made directly to our Conference Administrator.

Travel: The e-Science Institute is less than 15 minutes walk from Waverley rail station, and from St Andrews square bus stations. It is approximately 20 minutes by taxi from Edinburgh airport (40 minutes by bus). Please see our web site for a map of the area.

http://www.nesc.ac.uk