Objectif
Data mining is a technique for examining very large databases to help discern subtle relationships suggesting new business activities that need increased or decreased investment. The project aims to enhance the performance and functionality of data-mining systems by building a special purpose parallel data-mining server and an associated front-end client. This will be achieved by:
- Building a parallel data-mining client server product with scalable high performance;
- Adding value by improved functionality and cost performance;
- Satisfying the data-mining needs of the data-dependent industries.
The main technical innovation is the implementation of current and emergent data-mining technology and associated database techniques on a CPU intensive server running on the PARSYS parallel platform. Large volumes of data, too great for analysis, have been a major problem for end users. The results of this project will make it possible to search and analyse these very large databases in order to find information important to the competitiveness of many organisations.
http://www.parsys.com
http://www.trans.net/dafs
Champ scientifique
Appel à propositions
Data not availableRégime de financement
CSC - Cost-sharing contractsCoordinateur
W7 2QE London
Royaume-Uni