TU Darmstadt is one of the leading technical universities in Germany. Its Computer Science department consistently ranks among the top 5 in Germany. TU Darmstadt offers a unique environment for research in data management due to strong cooperations with other groups like the Machine Learning Lab or Distributed Systems Programming Lab, as well as ample interdisciplinary interaction.
We conduct research in several areas of databases and data management in conjunction with artificial intelligence (AI). The groups main focus areas are Systems for AI and AI for Systems.
Our lab regularly offers courses, seminars and labs on various data management topics. Furthermore, we offer term projects and Bachelors and Masters thesis projects with different focus areas.
The typical approach for learned DBMS components is to capture the behavior by running a representative set of queries and use the observations to train a machine learning model. We propose to learn a pure data-driven model.
Our lab members Nadja Geisler and Benjamin Hättasch talked about about the Deep Learning Hype and its consequences and impacts at the 36C3 in Leipzig
IDEBench: A new Benchmark for Interactive Data Exploration / DB4ML: An In-Memory Database Kernel with Machine Learning Support / DBPal: A Fully Pluggable NL2SQL Training Pipeline
Get your seat now: http://www.fgdb-symposium.de/ for more info!
In this paper, we propose an alternative approach to learn DBMS components.