Prof. Dr. Maximilian E. Schüle
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Forschungsgebiete
- HyPer: Hybrid OLTP&OLAP High-Performance Database System
- Knowledge Discovery on Main Memory Databases
- Version Control in Database Management Systems
- Integration and Generalization of Data Mining Operators in Main Memory Databases
Publikationen
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NN2SQL: Let SQL Think for Neural Networks20th symposium of "Database systems for Business, Technology and Web (BTW 2023)
- Modern SQL for Knowledge Discovery and Dataset Versioning Dissertation, Technische Universität München, Dezember 2021
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26th International Conference on Extending Database Technology (EDBT 2023)
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34th International Conference on Scientific and Statistical Database Management (SSDBM 2022)
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6th Workshop on Data Management for End-to-End Machine Learning (DEEM@SIGMOD 2022)
- B²-Tree: Page-Based String Indexing in Concurrent Environments Datenbank-Spektrum Feburary 2022, Volume 21, Issue 3
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25th International Conference on Extending Database Technology (EDBT 2022)
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12th International Workshop on Accelerating Analytics and Data Management Systems (ADMS@VLDB 2021) Downloads: [Paper] [Slides] [Source Code]
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33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021)
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33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021)
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ACM SIGMOD International Conference on Management of Data (SIGMOD 2021)
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19th symposium of "Database systems for Business, Technology and Web" (BTW 2021)
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19th symposium of "Database systems for Business, Technology and Web" (BTW 2021)
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24th European Conference on Advances in Databases and Information Systems (ADBIS 2020)
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32nd International Conference on Scientific and Statistical Database Management (SSDBM 2020)
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31st International Conference on Scientific and Statistical Database Management (SSDBM 2019)
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3rd Workshop on Data Management for End-to-End Machine Learning (DEEM@SIGMOD 2019)
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22nd International Conference on Extending Database Technology (EDBT 2019)
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22nd International Conference on Extending Database Technology (EDBT 2019)
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In-Database Machine Learning: Gradient Descent and Tensor Algebra for Main Memory Database Systems [BibTeX] [Poster] [Slides]18th symposium of "Database systems for Business, Technology and Web" (BTW 2019)
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18th symposium of "Database systems for Business, Technology and Web" (BTW 2019)
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HyPerInsight: Data Exploration Deep Inside HyPer (Best Demo Candidate)The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017)
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43th International Conference on Very Large Databases (VLDB 2017)
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Masterarbeit, TU München, 2016
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Bachelorarbeit, TU München, 2015
Lehre
Sommersemester 2022: | Einsatz und Realisierung von Datenbanksystemen |
Wintersemester 2021: | Seminar: Implementierungstechniken für Hauptspeicherdatenbanksysteme |
Sommersemester 2021: | Einsatz und Realisierung von Datenbanksystemen |
Wintersemester 2020: | Seminar: Implementierungstechniken für Hauptspeicherdatenbanksysteme |
Sommersemester 2020: | Einsatz und Realisierung von Datenbanksystemen |
Sommersemester 2019: | Einsatz und Realisierung von Datenbanksystemen |
Sommersemester 2018: | Einsatz und Realisierung von Datenbanksystemen |
Wintersemester 2017: | Seminar: Implementierungstechniken für Hauptspeicherdatenbanksysteme |
Sommersemester 2017: | Einsatz und Realisierung von Datenbanksystemen |
Wintersemester 2012: | Grundlagen Betriebssystem und Systemsoftware (Tutor) |
Kurzlebenslauf
- Seit Okt. 2022 Professor für Data Engineering Universität Bamberg, Deutschland
- Feb. 2017 - Okt. 2022 Wissenschaftlicher Mitarbeiter am Lehrstuhl für Datenbanksysteme bei Prof. Alfons Kemper, Ph.D. und Prof. Dr. Thomas Neumann TU München, Deutschland
- Okt. 2014 - Dez. 2016 M.Sc. in Software Engineering TU München, Ludwig-Maximilians-Universität and Universität Augsburg, Deutschland
- Sep. 2013 - Jan. 2014 Austauschsemester Sorbonne Université, Paris, Frankreich
- Okt. 2011 - Sep. 2014 B.Sc. in Informatik TU München, Deutschland
Materialien