Ziel
Knowledge Discovery or Data Mining is the partially automated process of extracting patterns from databases. It is a scientifically and commercially highly relevant approach for enhancing the intelligence of services. It is important from a European perspective since the EC's eEurope initiative presupposes the successful application of Knowledge Discovery techniques. The EC-JRC's IPTS predicts in its ""Emerging Thematic Priorities for Research in Europe"" that new scientific disciplines will be established in data mining and related areas by 2004. In this sensitive stage, an adequate representation of the growing European KDD community is missing. The objective of KDNet is to fill this gap. It will be an effective means to avoid fragmentation of European research activities, to catch up and to gain leadership with respect to research done in the US in the area of knowledge discovery and to focus early on transfer of knowledge to industry.
Research, industry and public sector organisations participate in KDNet to jointly shape the European knowledge discovery community, giving it a coherent and highly visible profile. International workshops supported by an online information service, training material and a roadmap will implement the objectives. As a result, fragmented research can be unified and industry will have a much more immediate access to state-of-the-art research results, accelerating industrial innovation, increasing competitiveness, and helping to establish the eEurope vision.
Knowledge Discovery or Data Mining is the partially automated process of extracting patterns from databases. It is a scientifically and commercially highly relevant approach for enhancing the intelligence of services. It is important from a European perspective since the EC's eEurope initiative presupposes the successful application of Knowledge Discovery techniques. The EC-JRC's IPTS predicts in its ""Emerging Thematic Priorities for Research in Europe"" that new scientific disciplines will be established in data mining and related areas by 2004. In this sensitive stage, an adequate representation of the growing European KDD community is missing. The objective of KDNet is to fill this gap. It will be an effective means to avoid fragmentation of European research activities, to catch up and to gain leadership with respect to research done in the US in the area of knowledge discovery and to focus early on transfer of knowledge to industry.
Research, industry and public sector organisations participate in KDNet to jointly shape the European knowledge discovery community, giving it a coherent and highly visible profile. International workshops supported by an online information service, training material and a roadmap will implement the objectives. As a result, fragmented research can be unified and industry will have a much more immediate access to state-of-the-art research results, accelerating industrial innovation, increasing competitiveness, and helping to establish the eEurope vision.
DESCRIPTION OF WORK
A consortium of founding members for the network has been set up including some of the most renowned European research institutions in the area of knowledge discovery; small and medium sized companies offering innovative data mining solutions; global players from industry that apply data mining in their core business, e.g. marketing, finance, telecommunication, automotive and transport; public sector organisations in need of enhancing the intelligence of their services. This unique consortium structure allows combining authoritative accounts on the state-of-the-art and future of European Knowledge Discovery research with highly innovative commercial solutions and first-hand accounts on the actual demand of data mining solutions by industry.
KDNt will:
(1) identify and anticipate new emergent technologies and trends in Knowledge Discovery and transfer that knowledge to industry and the public sector;
(2) provide a forum for academic, industry and public sector to establish collaboration;
(3) maintain an information service for industry, and scientists and provide training materials;
(4) represent the European Knowledge Discovery community in Europe and world-wide;
(5) integrate sub- communities from database theory, statistics, machine learning, case-based reasoning and neighbouring disciplines such as bio-informatics, economics, and geographic information systems.
KDNet is an open network. Any interested European research or commercial organisation can apply to become a member node. The basic requirement is to actively participate in the network's activities. All network activities mutually support each other, culminating in a series of major international workshop events that will bring together researchers, industry ad public sector representatives.
Wissenschaftliches Gebiet
- natural sciencescomputer and information sciencesdatabases
- natural sciencesearth and related environmental sciencesphysical geographycartographygeographic information systems
- social scienceseconomics and businesseconomics
- natural sciencescomputer and information sciencesdata sciencedata mining
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programm/Programme
Aufforderung zur Vorschlagseinreichung
Data not availableFinanzierungsplan
THN - Thematic network contractsKoordinator
80686 MUENCHEN
Deutschland
Auf der Karte ansehen
Beteiligte (32)
28006 MADRID
Auf der Karte ansehen
166 36 PRAHA 6
Auf der Karte ansehen
70567 STUTTGART
Auf der Karte ansehen
3062 PA ROTTERDAM
Auf der Karte ansehen
21020 ISPRA
Auf der Karte ansehen
02015 ESPOO
Auf der Karte ansehen
80687 MUENCHEN
Auf der Karte ansehen
1001 LJUBLJANA
Auf der Karte ansehen
4066 BRISBANE QUEENSLAND
Auf der Karte ansehen
3000 LEUVEN
Auf der Karte ansehen
100 44 STOCKHOLM
Auf der Karte ansehen
1301 RIGA
Auf der Karte ansehen
39106 MAGDEBURG
Auf der Karte ansehen
3800 GG AMERSFOORT
Auf der Karte ansehen
3271 SCHERPENHEUVEL-ZICHEM
Auf der Karte ansehen
10245 BERLIN
Auf der Karte ansehen
09125 CHEMNITZ
Auf der Karte ansehen
TW20 0EX EGHAM, SURREY
Auf der Karte ansehen
8002 ZUERICH
Auf der Karte ansehen
09107 CHEMNITZ
Auf der Karte ansehen
AB24 3FX ABERDEEN
Auf der Karte ansehen
4050-345 PORTO
Auf der Karte ansehen
13100 VERCELLI
Auf der Karte ansehen
70121 BARI
Auf der Karte ansehen
44227 DORTMUND
Auf der Karte ansehen
91405 ORSAY CEDEX
Auf der Karte ansehen
3584 CS UTRECHT
Auf der Karte ansehen
1012 WX AMSTERDAM
Auf der Karte ansehen
BS8 1TH BRISTOL
Auf der Karte ansehen
BT52 1SA COLERAINE
Auf der Karte ansehen
130 67 PRAHA
Auf der Karte ansehen