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2020 – today
- 2024
[c11]Alexander Baumstark
, Marcus Paradies, Kai-Uwe Sattler, Steffen Kläbe, Stephan Baumann:
So Far and yet so Near - Accelerating Distributed Joins with CXL. DaMoN 2024: 7:1-7:9- 2023
- [b1]Steffen Kläbe:
Modern data analytics in the cloud era. Technische Universität Ilmenau, Germany, TU Ilmenau 2023 - [c10]Steffen Kläbe, Stefan Hagedorn, Kai-Uwe Sattler:
Exploration of Approaches for In-Database ML. EDBT 2023: 311-323 - [c9]Steffen Kläbe, Kai-Uwe Sattler:
Patched Multi-Key Partitioning for Robust Query Performance. EDBT 2023: 324-336 - 2022
- [c8]Steffen Kläbe, Robert DeSantis, Stefan Hagedorn, Kai-Uwe Sattler:
Accelerating Python UDFs in Vectorized Query Execution. CIDR 2022 - 2021
- [j1]Steffen Kläbe, Kai-Uwe Sattler, Stephan Baumann:
PatchIndex: exploiting approximate constraints in distributed databases. Distributed Parallel Databases 39(3): 833-853 (2021) - [c7]Steffen Kläbe, Stefan Hagedorn:
Applying Machine Learning Models to Scalable DataFrames with Grizzly. BTW 2021: 195-214 - [c6]Stefan Hagedorn, Steffen Kläbe, Kai-Uwe Sattler:
Putting Pandas in a Box. CIDR 2021 - [c5]Stefan Hagedorn, Steffen Kläbe, Kai-Uwe Sattler:
Conquering a Panda's weaker self - Fighting laziness with laziness. EDBT 2021: 670-673 - [c4]Steffen Kläbe, Kai-Uwe Sattler, Stephan Baumann:
Updatable Materialization of Approximate Constraints. ICDE 2021: 1991-1996 - [i1]Steffen Kläbe, Kai-Uwe Sattler, Stephan Baumann:
Updatable Materialization of Approximate Constraints. CoRR abs/2102.06557 (2021) - 2020
- [c3]Steffen Kläbe, Kai-Uwe Sattler, Stephan Baumann, Michael Rink:
Elastic Scaling in VectorH. EDBT 2020: 498-509 - [c2]Steffen Kläbe, Kai-Uwe Sattler, Stephan Baumann:
PatchIndex - Exploiting Approximate Constraints in Self-managing Databases. ICDE Workshops 2020: 139-146
2010 – 2019
- 2017
- [c1]Peter A. Boncz, Angelos-Christos G. Anadiotis, Steffen Kläbe:
JCC-H: Adding Join Crossing Correlations with Skew to TPC-H. TPCTC 2017: 103-119
Coauthor Index
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