Universität Rostock | Fakultät für Informatik und Elektrotechnik | Institut für Informatik | Institut für Angewandte Mikroelektronik & Datentechnik


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Dennis Marten

Dennis Marten

Supervisor: Prof. Heuer
Co-Supervisor: Prof. Kirste
Research Field:
Big Data Analytics für die effiziente Aktivitätserkennung und -vorhersage in Assistenzsystemen

      

15.09.2014-30.09.2016

E-mail: dennis.marten (at) uni-rostock.de
Tel.: +49 381 498 7606

Research Statement

Working with sensor-data creates tremendous amounts of data in short time. It's not surprising, that a single computer or even server can't handle this amount of data using traditional methods. The focus of my research lies on the efficient parallelization of operations on big data, working on databases themselves. Special attention will be drawn to methods of detection and prediction for activity in the field of assisting systems. Another aspect is the provenance management of data to support the error prune development and maintenance of prediction models. The last aspect of my research deals with the (semi-)automatic transformation of machine-learning-programs (e.g. R) into database-programs. This will hopefully allow the user to embed the new database-algorithms without changing anything in his machine-learning-program code.


Deutsch

gefördert von der Deutschen Forschungsgemeinschaft
22.01.20