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Advanced Data Mining and Integration Research for Europe

Presentation Type: 

There is a rapidly growing wealth of data. The number of sources of data is increasing, while, at the same time, the diversity, complexity and scale of these data resources are also increasing dramatically. This cornucopia of data offers much potential; a combinatorial explosion of opportunities for knowledge discovery, improved decisions and better policies. Today, most of these opportunities are not realised because composing data from multiple sources and extracting information is too difficult. Every business, organisation and government faces problems that can only be addressed successfully if we improve our techniques for exploiting the data we gather.

We report the rationale for a new architecture, DMI architecture, for combined data integration and data mining under development in the Advanced Data Mining and Integration Research for Europe (ADMIRE) project. The DMI architecture is intended to enable society to make better use of the rapidly expanding wealth of data. The proposed DMI architecture must make all of the stages of DMI process development and enactment as identified in easier and more economic.

The ADMIRE project aims to significantly improve the exploitation of data by delivering three categories of output: a framework, an architecture and a set of use cases that illustrate how they can be used to improve DMI.

Date and time: 
Tuesday, 8 December, 2009 - 11:40
UK e-Science All Hands Meeting 2009, Oxford, UK