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The SFB 876


Projects of type A unify research on embedded systems and data analysis. Algorithms developed here provide a basis for evaluation and application in other projects.


Here the resource constraints based on limitations of the device are in focus. In many cases, data distribution and therefore the need for fusion of data demand adaptation of established data mining processes.


Projects of part C deal with dynamic and high-dimensional data. From reliable selection of features to distributed regressions approaches are evaluated to deal with this type of resource constraint implied by the huge amount of data.