SFB 876 -
Link:
http://sfb876.tu-dortmund.de
Description:
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.
Partners:
Staff Members:
Baack, Dominik
Becker, Andreas
Bockermann, Christian
Bunse, Mirko
Buß, Jens
Jungermann, Felix
Kotthaus, Helena
Lee, Sangkyun
Michaelis, Stefan
Molina, Alejandro
Morik, Katharina
Pfahler, Lukas
Piatkowski, Nico
Roth, Andreas
Saadallah, Amal
Schowe, Benjamin
Stolpe, Marco
Software:
A Drift-based Dynamic Ensemble Members Selection using Clustering For Time Series Forecasting
Deconvolution algorithms for Cherenkov astronomy
HHHPlugin
LLP
Optimization Plugin for RapidMiner
PRIMP and PANPAL
RapidMiner Microarray Feature Selection Plugin
rsig: Robust Signature Selection for Survival Outcomes
Publications:
