CONCEDE Short Description
With an exponential increase of available data volume, the need for a new generation of data mining tools and knowledge discovery in databases concepts becomes emergent. CONCEDE pursues to develop a complete and embracive theoretical and applicative framework that will allow for a compendious exploration of heterogeneous data resources, resulting in the discovery of semantic information hidden in image libraries. An innovative query concept wrapped around a modular architecture offers a complementary solution to other existing systems in the sense that it will fill an important gap between approaches like image annotation, image indexing, query by image content, data mining and knowledge discovery in terms of user perspective.
The main purpose is to provide a general framework able to include at any time new data mining tools and knowledge discovery in databases techniques able to deal with the information loss between low level and high level characteristics.