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Collaborative Research Center SFB 876 - Providing Information by Resource-Constrained Data Analysis


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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FAIR Workshop on Sequence & Streaming Data Analysis organized by Members of Project C4

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

  • on November 22 and 23, 2022, 09:00 to 13:00 each day,
  • hybrid, in seminar room OH14 E04 as well as in Zoom.

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:

  • André Nusser, Basic Algorithms Research Copenhagen (BARC), Copenhagen University.
  • Chris Schwiegelshohn, MADALGO, Department of Computer Science, Aarhus University.

Registration is required. More information at:

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