Jürgen Hölsch

Background

Jürgen studied Information and Computer Science at the University of Konstanz. In 2012, he received a Bachelor's Degree in Information Engineering with a specialization in data mining. He acquired a Master's Degree in Computer and Information Science in 2015. Jürgen's Master's Thesis, which was selected for publication in the Springer's BestMaster 2016 program, demonstrated how the NF² algebra can be applied to the optimization of nested SQL queries.

Teaching

Winter Semester 2015/2016

• INF-20210: Database System Architecture and Implementation (Winter 2015/16)

Publications

• Jürgen Hölsch, Tobias Schmidt, and Michael Grossniklaus: On the Performance of Analytical and Pattern Graph Queries in Neo4j and a Relational Database. Proceedings of GraphQ 2017, EDBT Workshop on Querying Graph Structured Data, Venice, Italy, March 2017
• Manuel Stein, Halldòr Janetzko, Daniel Seebacher, Alexander Jäger, Manuel Nagel, Jürgen Hölsch, Sven Kosub, Tobias Schreck, Daniel A. Keim and Michael Grossniklaus: How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects, Data, 2(1), March 2017
• Jürgen Hölsch, Michael Grossniklaus, and Marc H. Scholl: Optimization of Nested Queries using the NF² Algebra. In Proceedings of SIGMOD 2016, International Conference on Management of Data, San Francisco, CA, USA, June/July 2016
• Jürgen Hölsch and Michael Grossniklaus: An Algebra and Equivalences to Transform Graph Patterns in Neo4j. Proceedings of GraphQ 2016, EDBT Workshop on Querying Graph Structured Data, Bordeaux, France, March 2016
• Jürgen Hölsch: Optimierung von Nested Queries unter Verwendung der NF²-Algebra. Springer Vieweg BestMasters, Springer Fachmedien, Wiesbaden, Germany, March 2016 (ISBN 978-3-658-12609-4)