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.
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The interdisciplinary research area FAIR (together with members of project C4) organizes a two-day workshop on Sequence and Streaming Data Analysis.
This will take place
The goal of the workshop is to provide a basic understanding of similarity measures and classification and clustering algorithms for sequence data and data streams.
We welcome as presenting guests:
Registration is required. More information at:
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