SFB 876: Providing Information by Resource-Constrained Data Analysis

Type of Funding: DFG Programmes, Collaborative Research Centres

The collaborative research center SFB876 brings together data mining and embedded systems. On the one hand, embedded systems can be further improved using machine learning. On the other hand, data mining algorithms can be realized in hardware, e.g. FPGAs, or run on GPGPUs. The restrictions of ubiquitous systems in computing power, memory, and energy demand new algorithms for known learning tasks. These resource bounded learning algorithms may also be applied on extremely large data bases on servers.

Project Website

Contact Person at UA Ruhr:
Prof. Dr. Katharina Morik, TU Dortmund University

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