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KD-ubiq - a blueprint for ubiquitous knowledge discovery systems

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.

Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Address

Hansastrasse 27c
80686 Muenchen

Germany

Participants (7)

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DAIMLER AG

Germany

JOZEF STEFAN INSTITUTE

Slovenia

UNIVERSITA DEGLI STUDI DEL PIEMONTE ORIENTALE AMEDEO AVOGADRO

Italy

UNIVERSITA DEGLI STUDI DI BARI

Italy

UNIVERSITAET DORTMUND

Germany

UNIVERSITE PARIS-SUD

France

UNIVERSITEIT VAN AMSTERDAM

Netherlands

Project information

Grant agreement ID: 021321

  • Start date

    1 December 2005

  • End date

    31 May 2008

Funded under:

FP6-IST

  • Overall budget:

    € 925 886

  • EU contribution

    € 850 000

Coordinated by:

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany