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ADMIRE

Advanced Data Mining and Integration Research for Europe

Introducing DISPEL Data-Intensive Process Engineering Language

Speaker(s): 
Presentation Type: 
talk

The Data-Intensive Process Engineering Language (DISPEL) has been developed in the ADMIRE project to encourage partitioning of data-intensive process design and development. It manipulates processing elements and data streams to generate graphs that represent the requested processes. Some of the features of the language designed to make this possible will be introduced

Date and time: 
Wednesday, 16 February, 2011 - 10:30
Location: 
DIR Theme: Technology Workshop 1, Edinburgh, UK
Research topics: 
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DISPEL Reference Manual

P. Martin and Yaikhom, G., DISPEL Reference Manual, in Advanced Data Mining and Integration Research for Europe (ADMIRE), 2011.

New Staff: Luca Trani and Alessandro Spinuso

We welcome Alessandro Spinuso and Luca Trani who have joined us on the ADMIRE project. They previously worked for the Royal Netherlands Institute for Meteorology (KNMI) on ORFEUS, the centre for seismology research for Europe.

They are both in room IF5.38.

Projects: 
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New Staff: Dr Michelle Galea

We welcome Michelle, who is going to work on the ADMIRE project. She is in office 5.22.

Topic of this submission: 
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Prof Peter Brezany

Affiliation: 
University of Vienna, Austra

Peter will be working on the Advanced Data Mining and Integration Research for Europe project. He will mostly be working in conjunction with Malcolm Atkinson and Gagarine Yaikhom on the ADMIRE book.

He is in Room 3.23 and his phone number is 515625.

Dates: 
26 Jul 2010 to 5 Aug 2010
Projects: 

Towards Optimising Distributed Data Streaming Graphs using Parallel Streams

Speaker(s): 
Presentation Type: 
talk

Modern scientific collaborations have opened up the opportunity of solving complex problems that involve multi- disciplinary expertise and large-scale computational experiments. These experiments usually involve large amounts of data that are located in distributed data repositories running various software systems, and managed by different organisations. A common strategy to make the experiments more manageable is executing the processing steps as a workflow.

Date and time: 
Tuesday, 22 June, 2010 - 11:30
Location: 
The Third International Workshop on Data Intensive Distributed Computing, Chicago, Illinois, US
Research topics: 
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ADMIRE: Facilitating Data Mining and Data Integration

Speaker(s): 
Presentation Type: 
talk

It is evident that data-intensive research is transforming computing landscape. We are facing the challenge of handling the deluge of data generated by sensors and modern instruments that are widely used in all domains. The number of sources of data is increasing, while, at the same time, the diversity, complexity and scale of these data resources are also growing dramatically. To survive the data tsunami, we need to improve our apparatus for the exploration and exploitation of the growing wealth of data.

Date and time: 
Wednesday, 7 July, 2010 - 14:00
Location: 
Information Sciences Institute, University of Southern California, Los Angeles, California, US.
Projects: 

ADMIRE: Facilitating Data Mining and Data Integration

Speaker(s): 
Presentation Type: 
talk

It is evident that data-intensive research is transforming computing landscape. We are facing the challenge of handling the deluge of data generated by sensors and modern instruments that are widely used in all domains. The number of sources of data is increasing, while, at the same time, the diversity, complexity and scale of these data resources are also growing dramatically. To survive the data tsunami, we need to improve our apparatus for the exploration and exploitation of the growing wealth of data.

Date and time: 
Tuesday, 29 June, 2010 - 11:00
Location: 
National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, Illinois, US.
Projects: 
Research topics: 

School of Informatics: Research Assistant

Job title: 
RA

The UK National e-Science Centre at the University of Edinburgh is recruiting a Research Associate to join the Edinburgh Data-Intensive Research (http://research.nesc.ac.uk/) group. You will work on an EU-funded project (http://www.admire-project.eu/) to develop a European infrastructure to enable advanced data integration and data mining for research.

Expiry date: 
Tue, 07/20/2010
Job reference: 
3013017
Projects: 

ADMIRE: Facilitating Data Mining and Data Integration

Speaker(s): 
Presentation Type: 
talk

It is evident that data-intensive research is transforming computing landscape. We are facing the challenge of handling the deluge of data generated by sensors and modern instruments that are widely used in all domains. The number of sources of data is increasing, while, at the same time, the diversity, complexity and scale of these data resources are also growing dramatically. To survive the data tsunami, we need to improve our apparatus for the exploration and exploitation of the growing wealth of data.

Date and time: 
Thursday, 1 July, 2010 - 13:00
Location: 
Computation Institute, University of Chicago, Chicago, Illinois, US.
Research topics: 
Projects: 

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