Universität Bamberg
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Fakultät Wirtschaftsinformatik und Angewandte Informatik

Data Engineering

  1.  Otto-Friedrich-Universität Bamberg
  2. Fakultäten
  3. Wirtschaftsinformatik und Angewandte Informatik
  4. Professuren und Lehrstühle
  5. Informatik
  6. Data Engineering
  7. Forschung
  8. Publikationen

Publications

For a full list of publications please conduct dblp or Google Scholar.

  • Maximilian E. Schüle, Harald Lang, Maximilian Springer, Alfons Kemper, Thomas Neumann, Stephan Günnemann:  Recursive SQL and GPU-support for in-database machine learning (Distributed and Parallel Databases: Scientific and Statistical Data Management in the Age of AI 2021)
  • Maximilian E. Schüle: Modern SQL for Knowledge Discovery and Dataset Versioning Dissertation, Technische Universität München, Dezember 2021
  • Maximilian E. Schüle, Luca Scalerandi, Alfons Kemper, Thomas Neumann: Blue Elephants Inspecting Pandas: Inspection and Execution of Machine Learning Pipelines in SQL (26th International Conference on Extending Database Technology (EDBT 2023))
  • Maximilian E. Schüle, Alfons Kemper, Thomas Neumann: Recursive SQL for Data Mining (34th International Conference on Scientific and Statistical Database Management (SSDBM 2022))
  • Maximilian E. Schüle, Maximilian Springer, Alfons Kemper, Thomas Neumann: LLVM Code Optimisation for Automatic Differentiation (6th Workshop on Data Management for End-to-End Machine Learning (DEEM@SIGMOD 2022))
  • Josef Schmeißer, Maximilian E. Schüle, Viktor Leis, Thomas Neumann, Alfons Kemper: B²-Tree: Page-Based String Indexing in Concurrent Environments (Datenbank-Spektrum Feburary 2022, Volume 21, Issue 3)
  • Maximilian E. Schüle, Tobias Götz, Alfons Kemper, Thomas Neumann: ArrayQL Integration into Code-Generating Database Systems (25th International Conference on Extending Database Technology (EDBT 2022))
  • Magdalena Pröbstl, Philipp Fent, Maximilian E. Schüle, Moritz Sichert, Thomas Neumann and Alfons Kemper: One Buffer Manager to Rule Them All: Using Distributed Memory with Cache Coherence over RDMA (12th International Workshop on Accelerating Analytics and Data Management Systems (ADMS@VLDB 2021))
  • Maximilian E. Schüle, Tobias Götz, Alfons Kemper, Thomas Neumann: ArrayQL for Linear Algebra within Umbra (33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021))
  • Maximilian E. Schüle, Harald Lang, Maximilian Springer, Alfons Kemper, Thomas Neumann, Stephan Günnemann: In-Database Machine Learning with SQL on GPUs (33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021))
  • Maximilian E. Schüle, Josef Schmeißer, Thomas Blum, Alfons Kemper, Thomas Neumann: TardisDB: Extending SQL to Support Versioning (ACM SIGMOD International Conference on Management of Data (SIGMOD 2021))
  • Lukas Karnowski, Maximilian E. Schüle, Alfons Kemper, Thomas Neumann: Umbra as a Time Machine: Adding a Versioning Type to SQL (19th symposium of "Database systems for Business, Technology and Web" (BTW 2021))
  • Josef Schmeißer, Maximilian E. Schüle, Viktor Leis, Thomas Neumann, Alfons Kemper: B²-Tree: Cache-Friendly String Indexing within B-Trees. (19th symposium of "Database systems for Business, Technology and Web" (BTW 2021))
  • Maximilian E. Schüle, Alex Kulikov, Alfons Kemper, Thomas Neumann: ARTful Skyline Computation for In-Memory Database Systems (24th European Conference on Advances in Databases and Information Systems (ADBIS 2020))
  • Maximilian E. Schüle, Jakob Huber, Alfons Kemper, Thomas Neumann: Freedom for the SQL-Lambda: Just-in-Time-Compiling User-Injected Functions in PostgreSQL (32nd International Conference on Scientific and Statistical Database Management (SSDBM 2020))
  • Maximilian E. Schüle, Lukas Karnowski, Josef Schmeißer, Alfons Kemper, Thomas Neumann: Versioning in Main-Memory Database Systems: From MusaeusDB to TardisDB (31st International Conference on Scientific and Statistical Database Management (SSDBM 2019))
  • Maximilian E. Schüle, Matthias Bungeroth, Alfons Kemper, Stephan Günnemann, Thomas Neumann: MLearn: A Declarative Machine Learning Language for Database Systems (3rd Workshop on Data Management for End-to-End Machine Learning (DEEM@SIGMOD 2019))
  • Maximilian E. Schüle, Matthias Bungeroth, Dimitri Vorona, Alfons Kemper, Stephan Günnemann, Thomas Neumann: ML2SQL - Compiling a Declarative Machine Learning Language to SQL and Python (22nd International Conference on Extending Database Technology (EDBT 2019))
  • Maximilian E. Schüle, Dimitri Vorona, Linnea Passing, Harald Lang, Alfons Kemper, Stephan Günnemann, Thomas Neumann: The Power of SQL Lambda Functions (22nd International Conference on Extending Database Technology (EDBT 2019))
  • Maximilian E. Schüle, Frédéric Simonis, Thomas Heyenbrock, Alfons Kemper, Stephan Günnemann, Thomas Neumann: In-Database Machine Learning: Gradient Descent and Tensor Algebra for Main Memory Database Systems (18th symposium of "Database systems for Business, Technology and Web" (BTW 2019))
  • Maximilian E. Schüle, Linnea Passing, Alfons Kemper, Thomas Neumann: Ja-(zu-)SQL: Evaluation einer SQL-Skriptsprache für Hauptspeicherdatenbanksysteme (18th symposium of "Database systems for Business, Technology and Web" (BTW 2019))
  • Nina Hubig, Linnea Passing, Maximilian E. Schüle, Dimitri Vorona, Alfons Kemper, Thomas Neumann: HyPerInsight: Data Exploration Deep Inside HyPer (Best Demo Candidate) (The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017))
  • Maximilian E. Schüle, Pascal Schliski, Thomas Hutzelmann, Tobias Rosenberger, Viktor Leis, Dimitri Vorona, Alfons Kemper, Thomas Neumann: Monopedia: Staying Single is Good Enough - The HyPer Way for Web Scale Applications (43th International Conference on Very Large Databases (VLDB 2017))
  • Maximilian E. Schüle:  Integration eines hochperformanten Apriori-Operators in einer Hauptspeicherdatenbank, Masterarbeit, TU München, 2016
  • Maximilian E. Schüle: Ein Bash-zu-SQL-Übersetzers für die in-situ Dateianalyse, Bachelorarbeit, TU München, 2015