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ADMIRE

Advanced Data Mining and Integration Research for Europe

A Distributed Architecture for Data Mining and Integration

M. P. Atkinson, van Hemert, J., Han, L., Hume, A., and Liew, C. S., A Distributed Architecture for Data Mining and Integration, in Data-Aware Distributed Computing (DADC'09), in conjunction with the 18th International Symposium on High Performance Distributed Computing, 2009, pp. 11-20.

Advanced Data Mining and Integration Research for Europe (ADMIRE)

Speaker(s): 
Presentation Type: 
talk

Introduction to the Edinburgh National e-Science Centre's Research Group in the context of Data Mining. It specifically mentions an EU-FP7 project ADMIRE, which aims to to deliver a consistent and easy-to-use technology for extracting information and knowledge. The project is motivated by the difficulty of extracting meaningful information by data mining combinations of data from multiple heterogeneous and distributed resources.

Date and time: 
Wednesday, 29 October, 2008 - 15:40
Location: 
Informatics Research Programme on Machine Learning, G07 Informatics Forum, Edinburgh
Projects: 

Towards New Models and Languages for Data Mining and Integration

e-Science Institute Public Lecture
Speaker: 
Peter Brezany

Data mining refers to extracting or "mining" knowledge from large amount of data. It has enjoyed great popularity and success, especially in commercial applications, in recent years. Several models of data mining processes were first proposed by vendors of data mining tools, like SEMMA (Sample, Explore, Modify, Model, Asses) by SAS. Later there was a relevant effort aiming at the design of a standard model resulting into the specification of the CRISP-DM (CRoss-Industry Standard Process for Data Mining), which was published in 2000.

Date and time: 
Wednesday, 13 August, 2008 - 16:00
Length: 
60 minutes
Location: 
Newhaven
Projects: 

Advanced Data Mining and Integration Research for Europe

Today’s growing wealth of digital data in Europe is poorly exploited. Advances in storage, pervasive computing, digital sensors and instrumentation have led to massive growth in the volume of data collected and the number and complexity of data repositories. This growing wealth of data has an increasing potential to yield great benefits to citizens, science and business as it contains vital hidden knowledge.

Acronym: 
ADMIRE
Value: 
3.6M EURO
Dates: 
Sat, 03/01/2008 to Mon, 02/28/2011
Projects: 

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