Objective
The collection and analysis of data play a major role in a broad range of economic, academic and scientific activities. Market research, economic policy, finance and engineering are increasingly reliant on large information resources, and the correct inter pretation of this data. Where the volume of data is exceedingly large, where it exists at disparate locations, or where the analysts are geographically dispersed, existing data mining techniques struggle to allow users to interpret their huge amounts of da ta. These problems exist to some extent for all research establishments and large businesses.We propose to develop a distributed data mining infrastructure (ADMIRE) which will provide more accurate decision-making tools and improve the quality of service ( QoS) for users. ADMIRE will be prototyped on two application types; from the scientific and commercial domains. These applications have been chosen for their intrinsic user service provision merit and their reliance on remote data access. The ADMIRE projec t aims to develop novel and innovative distributed data mining (DDM) techniques to deal with very large and distributed datasets. These datasets can then be mined to identify local and global trends and models. The ADMIRE project brings together separate s trands of computer science research in data mining, knowledge discovery, distributed and parallel computing, and application development tools. ADMIRE will be a self-configuring system that combines efficiency and heterogeneity of data. Efficiency is expre ssed in terms of quality of service, ease of use, short response time, and accuracy in decision-making. Heterogeneity is addressed at two levels: location of the datasets and format independence. ADMIRE requires a rethinking of how data mining techniques c an deal with large datasets, heterogeneity, and distributed locations of the datasets. This will result in new scalable algorithms and new models for data mining applications.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences data science data mining
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2002-MOBILITY-3
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
DUBLIN 4
Ireland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.