Objective
This coordination action will bring together newly emerging research in ubiquitous knowledge discovery.
Research areas are:
- data mining in mobile systems, wireless communication networks, calm technologies
- distributed architectures: distributed data mining, grid, P2P, autonomic computing,
- agents
- learning components: statistical learning (incl. online learning), evolutionary computing,
- anytime algorithms data types: spatio-temporal, stream, multimedia
- security and privacy: privacy preserving data mining, intrusion detection
- HCI and cognitive modelling: user interfaces of ubiquitous discovery systems
This multi-disciplinary approach constitutes a paradigm shift for the field of knowledge discovery since the idea of a standalone (desktop or workstation) analysis tool is abandoned in favour of process integrated, distributed and autonomous analysis systems. Work done in this area merely scratches the surface, is dispersed among several communities, and in a very early stage. Integration of the various sub-areas involves considerable risk. The CA KDubiq will act to close the gap and strengthen long-term research and applications in a new and future-oriented discipline ubiquitous knowledge discovery. It faces many new challenges, e.g. because of technical limitations in memory, CPU power, bandwidth etc, and can only succeed if privacy and security are addressed in a principled and multi-disciplinary manner.
Objectives are to identify new research challenges, emerging from the changing nature of information and information sources: achieving the vision of ubiquitous knowledge discovery as a transparent set of tools, to be exploited everywhere, anytime, by all to derive strategic guidelines for long-term research by blueprint editing to structure and support emerging multi-disciplinary communities to identify and foster new emergent technologies to be transferred to industry to provide an information service for, students, scientists, industry.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware computer processors
- natural sciences computer and information sciences data science data mining
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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.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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
80686 MUENCHEN
Germany
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.