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Thomas Neumann 0001
Person information
- affiliation: TU Munich, Faculty of Computer Science, Germany
- award (2020): Gottfried Wilhelm Leibniz Prize
Other persons with the same name
- Thomas Neumann 0002 — Technische Hochschule Darmstadt, Germany
- Thomas Neumann 0003 — Symbolics GmbH, Eschborn, Germany
- Thomas Neumann 0004 — Meyer AG, Wiesbaden, Germany
- Thomas Neumann 0005 — VisionGate, Inc.
- Thomas Neumann 0006 — Saarland University, Saarbrücken, Germany
- Thomas Neumann 0007
— Hochschule für Technik und Wirtschaft Dresden, Germany (and 1 more)
- Thomas Neumann 0008 — SYSTOR AG, Basel, Switzerland
- Thomas Neumann 0009 (aka: Thomas A. Neumann) — NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Thomas Neumann 0010
- Thomas Neumann 0011 — North Central College, Department of Computer Science and Engineering, IL, USA
- Thomas Neumann 0012 — Virginia Commonwealth University, Massey Cancer Center, Richmond, VA, USA
- Thomas Neumann 0013 — Leibniz Institute for Baltic Sea Research Warnemünde, Rostock, Germany
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2020 – today
- 2024
- [j80]Altan Birler, Alfons Kemper, Thomas Neumann:
Robust Join Processing with Diamond Hardened Joins. Proc. VLDB Endow. 17(11): 3215-3228 (2024) - [j79]Tobias Schmidt, Dominik Durner, Viktor Leis, Thomas Neumann:
Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP. Proc. VLDB Endow. 17(11): 3290-3303 (2024) - [j78]Thomas Neumann:
Technical Perspective: From Binary Join to Free Join. SIGMOD Rec. 53(1): 24 (2024) - [j77]Thomas Neumann:
Technical Perspective: Efficient and Reusable Lazy Sampling. SIGMOD Rec. 53(1): 32 (2024) - [c151]Thomas Neumann, Viktor Leis:
A Critique of Modern SQL and a Proposal Towards a Simple and Expressive Query Language. CIDR 2024 - [c150]Altan Birler
Simple, Efficient, and Robust Hash Tables for Join Processing. DaMoN 2024: 4:1-4:9 - [c149]Leon Windheuser, Christoph Anneser, Huanchen Zhang, Thomas Neumann, Alfons Kemper:
Adaptive Compression for Databases. EDBT 2024: 143-149 - [c148]Thomas Neumann
Closing the Gap between Theory and Practice in Query Optimization. PODS Companion 2024: 4 - 2023
- [j76]Ferdinand Gruber, Maximilian Bandle, Alexis Engelke
Bringing Compiling Databases to RISC Architectures. Proc. VLDB Endow. 16(6): 1222-1234 (2023) - [j75]Dominik Durner, Viktor Leis, Thomas Neumann:
Exploiting Cloud Object Storage for High-Performance Analytics. Proc. VLDB Endow. 16(11): 2769-2782 (2023) - [j74]Philipp Fent
Asymptotically Better Query Optimization Using Indexed Algebra. Proc. VLDB Endow. 16(11): 3018-3030 (2023) - [j73]Philipp Fent
Practical planning and execution of groupjoin and nested aggregates. VLDB J. 32(6): 1165-1190 (2023) - [c147]Maximilian Emanuel Schüle
NN2SQL: Let SQL Think for Neural Networks. BTW 2023: 183-194 - [c146]Alice Rey, Michael Freitag, Thomas Neumann:
Seamless Integration of Parquet Files into Data Processing. BTW 2023: 235-258 - [c145]Christian Winter, Moritz Sichert, Altan Birler, Thomas Neumann, Alfons Kemper:
Communication-Optimal Parallel Reservoir Sampling. BTW 2023: 567-578 - [c144]Maximilian E. Schüle, Luca Scalerandi, Alfons Kemper, Thomas Neumann:
Blue Elephants Inspecting Pandas: Inspection and Execution of Machine Learning Pipelines in SQL. EDBT 2023: 40-52 - [c143]Peter A. Boncz, Yannis Chronis, Jan Finis, Stefan Halfpap, Viktor Leis, Thomas Neumann, Anisoara Nica, Caetano Sauer, Knut Stolze, Marcin Zukowski:
SPA: Economical and Workload-Driven Indexing for Data Analytics in the Cloud. ICDE 2023: 3740-3746 - [c142]Christian Winter, Thomas Neumann, Alfons Kemper:
Relation-Based In-Database Stream Processing. VLDB Workshops 2023 - [c141]Adrian Riedl, Philipp Fent
Exploiting Code Generation for Efficient LIKE Pattern Matching. VLDB Workshops 2023 - [i15]André Kohn, Dominik Moritz, Thomas Neumann:
DashQL - Complete Analysis Workflows with SQL. CoRR abs/2306.03714 (2023) - [i14]Maximilian E. Schüle, Thomas Neumann, Alfons Kemper:
The Duck's Brain: Training and Inference of Neural Networks in Modern Database Engines. CoRR abs/2312.17355 (2023) - 2022
- [j72]Daniel Abadi
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022) - [j71]Josef Schmeißer, Maximilian E. Schüle, Viktor Leis, Thomas Neumann, Alfons Kemper:
B2-Tree: Page-Based String Indexing in Concurrent Environments. Datenbank-Spektrum 22(1): 11-22 (2022) - [j70]Maximilian E. Schüle
Recursive SQL and GPU-support for in-database machine learning. Distributed Parallel Databases 40(2-3): 205-259 (2022) - [j69]Moritz Sichert, Thomas Neumann:
User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases. Proc. VLDB Endow. 15(5): 1119-1131 (2022) - [j68]Michael J. Freitag, Alfons Kemper, Thomas Neumann:
Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems. Proc. VLDB Endow. 15(11): 2797-2810 (2022) - [j67]Lukas Vogel, Alexander van Renen, Satoshi Imamura
Plush: A Write-Optimized Persistent Log-Structured Hash-Table. Proc. VLDB Endow. 15(11): 2895-2907 (2022) - [j66]Christian Winter, Jana Giceva, Thomas Neumann, Alfons Kemper:
On-Demand State Separation for Cloud Data Warehousing. Proc. VLDB Endow. 15(11): 2966-2979 (2022) - [j65]Maximilian Reif, Thomas Neumann:
A Scalable and Generic Approach to Range Joins. Proc. VLDB Endow. 15(11): 3018-3030 (2022) - [j64]André Kohn, Dominik Moritz, Mark Raasveldt, Hannes Mühleisen, Thomas Neumann:
DuckDB-Wasm: Fast Analytical Processing for the Web. Proc. VLDB Endow. 15(12): 3574-3577 (2022) - [c140]Tobias Schmidt, Philipp Fent, Thomas Neumann:
Efficiently Compiling Dynamic Code for Adaptive Query Processing. ADMS@VLDB 2022: 11-22 - [c139]Leonard von Merzljak, Philipp Fent, Thomas Neumann, Jana Giceva:
What Are You Waiting For? Use Coroutines for Asynchronous I/O to Hide I/O Latencies and Maximize the Read Bandwidth! ADMS@VLDB 2022: 36-46 - [c138]Maximilian E. Schüle, Maximilian Springer, Alfons Kemper, Thomas Neumann:
LLVM code optimisation for automatic differentiation: when forward and reverse mode lead in the same direction. DEEM@SIGMOD 2022: 5:1-5:4 - [c137]Maximilian E. Schüle, Tobias Götz
ArrayQL Integration into Code-Generating Database Systems. EDBT 2022: 1:40-1:51 - [c136]Adrian Vogelsgesang, Thomas Neumann, Viktor Leis, Alfons Kemper:
Efficient Evaluation of Arbitrarily-Framed Holistic SQL Aggregates and Window Functions. SIGMOD Conference 2022: 1243-1256 - [c135]Christoph Anneser, Andreas Kipf, Huanchen Zhang, Thomas Neumann, Alfons Kemper:
Adaptive Hybrid Indexes. SIGMOD Conference 2022: 1626-1639 - [c134]Maximilian Emanuel Schüle, Alfons Kemper, Thomas Neumann:
Recursive SQL for Data Mining. SSDBM 2022: 21:1-21:4 - 2021
- [j63]Tim Kraska, Umar Farooq Minhas, Thomas Neumann, Olga Papaemmanouil, Jignesh M. Patel, Christopher Ré, Michael Stonebraker:
ML-In-Databases: Assessment and Prognosis. IEEE Data Eng. Bull. 44(1): 3-10 (2021) - [j62]Philipp Fent
A Practical Approach to Groupjoin and Nested Aggregates. Proc. VLDB Endow. 14(11): 2383-2396 (2021) - [j61]Thomas Neumann:
Evolution of a Compiling Query Engine. Proc. VLDB Endow. 14(12): 3207-3210 (2021) - [j60]André Kohn
Making Compiling Query Engines Practical. IEEE Trans. Knowl. Data Eng. 33(2): 597-612 (2021) - [j59]Timo Kersten
Tidy Tuples and Flying Start: fast compilation and fast execution of relational queries in Umbra. VLDB J. 30(5): 883-905 (2021) - [c133]Magdalena Pröbstl, Philipp Fent, Maximilian E. Schüle, Moritz Sichert, Thomas Neumann, Alfons Kemper:
One Buffer Manager to Rule Them All: Using Distributed Memory with Cache Coherence over RDMA. ADMS@VLDB 2021: 17-26 - [c132]Josef Schmeißer, Maximilian E. Schüle
B²-Tree: Cache-Friendly String Indexing within B-Trees. BTW 2021: 39-58 - [c131]Lukas Karnowski, Maximilian E. Schüle
Umbra as a Time Machine. BTW 2021: 123-132 - [c130]Christian Winter, Andreas Kipf, Christoph Anneser, Eleni Tzirita Zacharatou
GeoBlocks: A Query-Cache Accelerated Data Structure for Spatial Aggregation over Polygons. EDBT 2021: 169-180 - [c129]Alexander Beischl, Timo Kersten, Maximilian Bandle, Jana Giceva, Thomas Neumann:
Profiling dataflow systems on multiple abstraction levels. EuroSys 2021: 474-489 - [c128]Martin Eppert, Philipp Fent
A Tailored Regression for Learned Indexes: Logarithmic Error Regression. aiDM@SIGMOD 2021: 9-15 - [c127]Maximilian Bandle, Jana Giceva, Thomas Neumann:
To Partition, or Not to Partition, That is the Join Question in a Real System. SIGMOD Conference 2021: 168-180 - [c126]Dominik Durner, Viktor Leis, Thomas Neumann:
JSON Tiles: Fast Analytics on Semi-Structured Data. SIGMOD Conference 2021: 445-458 - [c125]André Kohn, Viktor Leis, Thomas Neumann:
Building Advanced SQL Analytics From Low-Level Plan Operators. SIGMOD Conference 2021: 1001-1013 - [c124]Benjamin Wagner, André Kohn, Thomas Neumann:
Self-Tuning Query Scheduling for Analytical Workloads. SIGMOD Conference 2021: 1879-1891 - [c123]Maximilian E. Schüle
TardisDB: Extending SQL to Support Versioning. SIGMOD Conference 2021: 2775-2778 - [c122]Maximilian E. Schüle
In-Database Machine Learning with SQL on GPUs. SSDBM 2021: 25-36 - [c121]Maximilian E. Schüle
ArrayQL for Linear Algebra within Umbra. SSDBM 2021: 193-196 - 2020
- [j58]Michael J. Freitag, Maximilian Bandle, Tobias Schmidt, Alfons Kemper, Thomas Neumann:
Adopting Worst-Case Optimal Joins in Relational Database Systems. Proc. VLDB Endow. 13(11): 1891-1904 (2020) - [j57]Christian Winter, Tobias Schmidt, Thomas Neumann, Alfons Kemper:
Meet Me Halfway: Split Maintenance of Continuous Views. Proc. VLDB Endow. 13(11): 2620-2633 (2020) - [j56]Peter A. Boncz, Thomas Neumann, Viktor Leis:
FSST: Fast Random Access String Compression. Proc. VLDB Endow. 13(11): 2649-2661 (2020) - [j55]Lukas Vogel, Alexander van Renen, Satoshi Imamura, Viktor Leis, Thomas Neumann, Alfons Kemper:
Mosaic: A Budget-Conscious Storage Engine for Relational Database Systems. Proc. VLDB Endow. 13(11): 2662-2675 (2020) - [j54]Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska:
Benchmarking Learned Indexes. Proc. VLDB Endow. 14(1): 1-13 (2020) - [j53]Harald Lang, Linnea Passing, Andreas Kipf, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines. VLDB J. 29(2-3): 757-774 (2020) - [j52]Alexander van Renen
Building blocks for persistent memory. VLDB J. 29(6): 1223-1241 (2020) - [c120]Maximilian E. Schüle
ARTful Skyline Computation for In-Memory Database Systems. ADBIS (Short Papers) 2020: 3-12 - [c119]Thomas Neumann, Michael J. Freitag:
Umbra: A Disk-Based System with In-Memory Performance. CIDR 2020 - [c118]Jan Böttcher, Viktor Leis, Jana Giceva, Thomas Neumann, Alfons Kemper:
Scalable and robust latches for database systems. DaMoN 2020: 2:1-2:8 - [c117]Altan Birler, Bernhard Radke, Thomas Neumann:
Concurrent online sampling for all, for free. DaMoN 2020: 5:1-5:8 - [c116]Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Christoph Anneser, Eleni Tzirita Zacharatou
Adaptive Main-Memory Indexing for High-Performance Point-Polygon Joins. EDBT 2020: 347-358 - [c115]Christoph Anneser, Andreas Kipf, Harald Lang, Thomas Neumann, Alfons Kemper:
The Case for Hybrid Succinct Data Structures. EDBT 2020: 391-394 - [c114]Philipp Fent
START - Self-Tuning Adaptive Radix Tree. ICDE Workshops 2020: 147-153 - [c113]Philipp Fent
Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory. ICDE 2020: 1477-1488 - [c112]Timo Kersten, Thomas Neumann:
On another level: how to debug compiling query engines. DBTest@SIGMOD 2020: 2:1-2:6 - [c111]Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann:
RadixSpline: a single-pass learned index. aiDM@SIGMOD 2020: 5:1-5:5 - [c110]Michael Haubenschild, Caetano Sauer, Thomas Neumann, Viktor Leis:
Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines. SIGMOD Conference 2020: 877-892 - [c109]Harald Lang, Alexander Beischl, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Tree-Encoded Bitmaps. SIGMOD Conference 2020: 937-967 - [c108]Maximilian E. Schüle
Freedom for the SQL-Lambda: Just-in-Time-Compiling User-Injected Functions in PostgreSQL. SSDBM 2020: 6:1-6:12 - [e7]Danica Porobic, Thomas Neumann:
16th International Workshop on Data Management on New Hardware, DaMoN 2020, Portland, Oregon, USA, June 15, 2020. ACM 2020, ISBN 978-1-4503-8024-9 [contents] - [i13]Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann:
RadixSpline: A Single-Pass Learned Index. CoRR abs/2004.14541 (2020) - [i12]Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska:
Benchmarking Learned Indexes. CoRR abs/2006.12804 (2020)
2010 – 2019
- 2019
- [j51]Viktor Leis, Michael Haubenschild, Thomas Neumann:
Optimistic Lock Coupling: A Scalable and Efficient General-Purpose Synchronization Method. IEEE Data Eng. Bull. 42(1): 73-84 (2019) - [j50]Harald Lang, Thomas Neumann, Alfons Kemper, Peter A. Boncz:
Performance-Optimal Filtering: Bloom overtakes Cuckoo at High-Throughput. Proc. VLDB Endow. 12(5): 502-515 (2019) - [j49]Jan Böttcher, Viktor Leis, Thomas Neumann, Alfons Kemper:
Scalable Garbage Collection for In-Memory MVCC Systems. Proc. VLDB Endow. 13(2): 128-141 (2019) - [j48]Daniel Abadi
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019) - [j47]Andreas Kipf, Varun Pandey, Jan Böttcher, Lucas Braun, Thomas Neumann, Alfons Kemper:
Scalable Analytics on Fast Data. ACM Trans. Database Syst. 44(1): 1:1-1:35 (2019) - [c107]Dominik Durner, Viktor Leis, Thomas Neumann:
Experimental Study of Memory Allocation for High-Performance Query Processing. ADMS@VLDB 2019: 1-9 - [c106]Bernhard Radke, Thomas Neumann:
LinDP++: Generalizing Linearized DP to Crossproducts and Non-Inner Joins. BTW 2019: 57-76 - [c105]Maximilian E. Schüle
Ja-(zu-)SQL: Evaluation einer SQL-Skriptsprache für Hauptspeicherdatenbanksysteme. BTW 2019: 107-126 - [c104]Maximilian E. Schüle
In-Database Machine Learning: Gradient Descent and Tensor Algebra for Main Memory Database Systems. BTW 2019: 247-266 - [c103]Kai-Uwe Sattler, Alfons Kemper, Thomas Neumann, Jens Teubner:
DFG Priority Program SPP 2037: Scalable Data Management for Future Hardware. BTW (Workshops) 2019: 273-276 - [c102]Adrian Vogelsgesang, Tobias Mühlbauer, Viktor Leis, Thomas Neumann, Alfons Kemper:
Domain Query Optimization: Adapting the General-Purpose Database System Hyper for Tableau Workloads. BTW 2019: 313-333 - [c101]Michael J. Freitag, Thomas Neumann:
Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates. CIDR 2019 - [c100]Alexander van Renen, Lukas Vogel
Persistent Memory I/O Primitives. DaMoN 2019: 12:1-12:7 - [c99]Dominik Durner, Viktor Leis, Thomas Neumann:
On the Impact of Memory Allocation on High-Performance Query Processing. DaMoN 2019: 21:1-21:3 - [c98]Maximilian E. Schüle
The Power of SQL Lambda Functions. EDBT 2019: 534-537 - [c97]Maximilian E. Schüle
ML2SQL - Compiling a Declarative Machine Learning Language to SQL and Python. EDBT 2019: 562-565 - [c96]Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper:
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning. SIGSPATIAL/GIS 2019: 500-503 - [c95]Dominik Durner, Thomas Neumann:
No False Negatives: Accepting All Useful Schedules in a Fast Serializable Many-Core System. ICDE 2019: 734-745 - [c94]Maximilian E. Schüle
MLearn: A Declarative Machine Learning Language for Database Systems. DEEM@SIGMOD 2019: 7:1-7:4 - [c93]Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Estimating Cardinalities with Deep Sketches. SIGMOD Conference 2019: 1937-1940 - [c92]Thomas Neumann, Ken Salem:
DaMoN 19: The 15th International Workshop on Data Management on New Hardware. SIGMOD Conference 2019: 2070-2071 - [c91]Maximilian E. Schüle
Versioning in Main-Memory Database Systems: From MusaeusDB to TardisDB. SSDBM 2019: 169-180 - [e6]Thomas Neumann, Ken Salem:
Proceedings of the 15th International Workshop on Data Management on New Hardware, DaMoN 2019, Amsterdam, The Netherlands, 1 July 2019. ACM 2019, ISBN 978-1-4503-6801-8 [contents] - [i11]Alexander van Renen, Lukas Vogel, Viktor Leis, Thomas Neumann, Alfons Kemper:
Persistent Memory I/O Primitives. CoRR abs/1904.01614 (2019) - [i10]Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Estimating Cardinalities with Deep Sketches. CoRR abs/1904.08223 (2019) - [i9]Dominik Durner, Viktor Leis, Thomas Neumann:
On the Impact of Memory Allocation on High-Performance Query Processing. CoRR abs/1905.01135 (2019) - [i8]Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper:
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning. CoRR abs/1906.06085 (2019) - [i7]Christian Winter, Andreas Kipf, Thomas Neumann, Alfons Kemper:
GeoBlocks: A Query-Driven Storage Layout for Geospatial Data. CoRR abs/1908.07753 (2019) - [i6]Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann:
SOSD: A Benchmark for Learned Indexes. CoRR abs/1911.13014 (2019) - 2018
- [j46]Varun Pandey, Andreas Kipf, Thomas Neumann, Alfons Kemper:
How Good Are Modern Spatial Analytics Systems? Proc. VLDB Endow. 11(11): 1661-1673 (2018) - [j45]Timo Kersten, Viktor Leis, Alfons Kemper, Thomas Neumann, Andrew Pavlo, Peter A. Boncz:
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask. Proc. VLDB Endow. 11(13): 2209-2222 (2018) - [j44]Viktor Leis, Bernhard Radke, Andrey Gubichev, Atanas Mirchev, Peter A. Boncz, Alfons Kemper, Thomas Neumann:
Query optimization through the looking glass, and what we found running the Join Order Benchmark. VLDB J. 27(5): 643-668 (2018) - [c90]Harald Lang, Andreas Kipf, Linnea Passing, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines. DaMoN 2018: 5:1-5:8 - [c89]Viktor Leis, Michael Haubenschild, Alfons Kemper, Thomas Neumann:
LeanStore: In-Memory Data Management beyond Main Memory. ICDE 2018: 185-196 - [c88]André Kohn, Viktor Leis, Thomas Neumann:
Adaptive Execution of Compiled Queries. ICDE 2018: 197-208 - [c87]Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Approximate Geospatial Joins with Precision Guarantees. ICDE 2018: 1360-1363 - [c86]Thomas Neumann:
Reasoning in the Presence of NULLs. ICDE 2018: 1682-1683 - [c85]Adrian Vogelsgesang, Michael Haubenschild, Jan Finis, Alfons Kemper, Viktor Leis, Tobias Mühlbauer, Thomas Neumann, Manuel Then:
Get Real: How Benchmarks Fail to Represent the Real World. DBTest@SIGMOD 2018: 1:1-1:6 - [c84]Thomas Neumann, Bernhard Radke:
Adaptive Optimization of Very Large Join Queries. SIGMOD Conference 2018: 677-692 - [c83]Alexander van Renen
Managing Non-Volatile Memory in Database Systems. SIGMOD Conference 2018: 1541-1555 - [r4]Mouna Kacimi, Thomas Neumann:
System R (R*) Optimizer. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Thomas Neumann:
Query Optimization (in Relational Databases). Encyclopedia of Database Systems (2nd ed.) 2018 - [i5]Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Adaptive Geospatial Joins for Modern Hardware. CoRR abs/1802.09488 (2018) - 2017
- [j43]Manuel Then
Efficient Batched Distance, Closeness and Betweenness Centrality Computation in Unweighted and Weighted Graphs. Datenbank-Spektrum 17(2): 169-182 (2017) - [j42]Franz Faerber, Alfons Kemper, Per-Åke Larson, Justin J. Levandoski, Thomas Neumann
Main Memory Database Systems. Found. Trends Databases 8(1-2): 1-130 (2017) - [j41]Alfons Kemper, Viktor Leis, Thomas Neumann
Die Evolution des Hauptspeicherdatenbanksystems HyPer - Von Transaktionen und Analytik zu Big Data sowie von der Forschung zum Technologietransfer. Inform. Spektrum 40(2): 176-179 (2017) - [j40]Manuel Then, Timo Kersten, Stephan Günnemann, Alfons Kemper, Thomas Neumann:
Automatic Algorithm Transformation for Efficient Multi-Snapshot Analytics on Temporal Graphs. Proc. VLDB Endow. 10(8): 877-888 (2017) - [j39]Maximilian E. Schüle
Monopedia: Staying Single is Good Enough - The HyPer Way for Web Scale Applications. Proc. VLDB Endow. 10(12): 1921-1924 (2017) - [j38]Jan Finis
Order Indexes: supporting highly dynamic hierarchical data in relational main-memory database systems. VLDB J. 26(1): 55-80 (2017) - [c82]Thomas Neumann, Viktor Leis, Alfons Kemper:
The Complete Story of Joins (in HyPer). BTW 2017: 31-50 - [c81]Manuel Then, Stephan Günnemann, Alfons Kemper, Thomas Neumann:
Efficient Batched Distance and Centrality Computation in Unweighted and Weighted Graphs. BTW 2017: 247-266 - [c80]Viktor Leis, Bernhard Radke, Andrey Gubichev, Alfons Kemper, Thomas Neumann:
Cardinality Estimation Done Right: Index-Based Join Sampling. CIDR 2017 - [c79]Nina C. Hubig, Linnea Passing, Maximilian E. Schüle
HyPerInsight: Data Exploration Deep Inside HyPer. CIKM 2017: 2467-2470 - [c78]Moritz Kaufmann, Manuel Then, Alfons Kemper, Thomas Neumann
Parallel Array-Based Single- and Multi-Source Breadth First Searches on Large Dense Graphs. EDBT 2017: 1-12 - [c77]Andreas Kipf, Varun Pandey, Jan Böttcher, Lucas Braun, Thomas Neumann
Analytics on Fast Data: Main-Memory Database Systems versus Modern Streaming Systems. EDBT 2017: 49-60 - [c76]Linnea Passing, Manuel Then, Nina C. Hubig, Harald Lang, Michael Schreier, Stephan Günnemann, Alfons Kemper, Thomas Neumann
SQL- and Operator-centric Data Analytics in Relational Main-Memory Databases. EDBT 2017: 84-95 - [p3]Alfons Kemper, Viktor Leis, Thomas Neumann:
Die Evolution des Hauptspeicher-Datenbanksystems HyPer: Von Transaktionen und Analytik zu Big Data sowie von der Forschung zum Technologietransfer. 50 Jahre Universitäts-Informatik in München 2017: 149-154 - 2016
- [j37]Viktor Leis, Alfons Kemper, Thomas Neumann
Scaling HTM-Supported Database Transactions to Many Cores. IEEE Trans. Knowl. Data Eng. 28(2): 297-310 (2016) - [j36]Peter A. Boncz, Wolfgang Lehner
Special Issue: Modern Hardware. VLDB J. 25(5): 623-624 (2016) - [c75]Viktor Leis, Florian Scheibner, Alfons Kemper, Thomas Neumann
The ART of practical synchronization. DaMoN 2016: 3:1-3:8 - [c74]Manuel Then, Moritz Kaufmann, Alfons Kemper, Thomas Neumann
Evaluation of parallel graph loading techniques. GRADES 2016: 4 - [c73]Wolf Rödiger, Sam Idicula, Alfons Kemper, Thomas Neumann
Flow-Join: Adaptive skew handling for distributed joins over high-speed networks. ICDE 2016: 1194-1205 - [c72]Harald Lang, Tobias Mühlbauer, Florian Funke, Peter A. Boncz, Thomas Neumann
Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation. SIGMOD Conference 2016: 311-326 - [c71]Varun Pandey, Andreas Kipf, Dimitri Vorona, Tobias Mühlbauer, Thomas Neumann
High-Performance Geospatial Analytics in HyPerSpace. SIGMOD Conference 2016: 2145-2148 - 2015
- [j35]Jan Finis, Robert Brunel, Alfons Kemper, Thomas Neumann, Norman May, Franz Färber:
Indexing Highly Dynamic Hierarchical Data. Proc. VLDB Endow. 8(10): 986-997 (2015) - [j34]Viktor Leis, Kan Kundhikanjana, Alfons Kemper, Thomas Neumann:
Efficient Processing of Window Functions in Analytical SQL Queries. Proc. VLDB Endow. 8(10): 1058-1069 (2015) - [j33]Viktor Leis, Andrey Gubichev, Atanas Mirchev, Peter A. Boncz, Alfons Kemper, Thomas Neumann:
How Good Are Query Optimizers, Really? Proc. VLDB Endow. 9(3): 204-215 (2015) - [j32]Wolf Rödiger, Tobias Mühlbauer, Alfons Kemper, Thomas Neumann:
High-Speed Query Processing over High-Speed Networks. Proc. VLDB Endow. 9(4): 228-239 (2015) - [c70]Moritz Kaufmann, Tobias Mühlbauer, Manuel Then, Andrey Gubichev, Alfons Kemper, Thomas Neumann:
Hochperformante Analyse von Graph-Datenbanken. BTW 2015: 311-330 - [c69]Thomas Neumann, Alfons Kemper:
Unnesting Arbitrary Queries. BTW 2015: 383-402 - [c68]Robert Brunel, Jan Finis, Gerald Franz, Norman May, Alfons Kemper, Thomas Neumann
Supporting hierarchical data in SAP HANA. ICDE 2015: 1280-1291 - [c67]Manuel Then, Linnea Passing, Nina C. Hubig, Stephan Günnemann, Alfons Kemper, Thomas Neumann:
Effiziente Integration von Data- und Graph-Mining-Algorithmen in relationale Datenbanksysteme. LWA 2015: 45-49 - [c66]Tobias Mühlbauer, Wolf Rödiger, Andreas Kipf, Alfons Kemper, Thomas Neumann
High-Performance Main-Memory Database Systems and Modern Virtualization: Friends or Foes? DanaC@SIGMOD 2015: 4:1-4:4 - [c65]Thomas Neumann
Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems. SIGMOD Conference 2015: 677-689 - [e5]James Cheney, Thomas Neumann:
Proceedings of the 15th Symposium on Database Programming Languages, Pittsburgh, PA, USA, October 25-30, 2015. ACM 2015, ISBN 978-1-4503-3902-5 [contents] - [e4]Arun Jagatheesan, Justin J. Levandoski, Thomas Neumann
In Memory Data Management and Analysis - First and Second International Workshops, IMDM 2013, Riva del Garda, Italy, August 26, 2013, IMDM 2014, Hongzhou, China, September 1, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8921, Springer 2015, ISBN 978-3-319-13959-3 [contents] - [i4]Wolf Rödiger, Tobias Mühlbauer, Alfons Kemper, Thomas Neumann
High-Speed Query Processing over High-Speed Networks. CoRR abs/1502.07169 (2015) - 2014
- [j31]Florian Funke, Alfons Kemper, Tobias Mühlbauer, Thomas Neumann
HyPer Beyond Software: Exploiting Modern Hardware for Main-Memory Database Systems. Datenbank-Spektrum 14(3): 173-181 (2014) - [j30]Thomas Neumann, Viktor Leis:
Compiling Database Queries into Machine Code. IEEE Data Eng. Bull. 37(1): 3-11 (2014) - [j29]Thomas Neumann:
Engineering High-Performance Database Engines. Proc. VLDB Endow. 7(13): 1734-1741 (2014) - [j28]Manuel Then, Moritz Kaufmann, Fernando Chirigati, Tuan-Anh Hoang-Vu, Kien Pham, Alfons Kemper, Thomas Neumann, Huy T. Vo:
The More the Merrier: Efficient Multi-Source Graph Traversal. Proc. VLDB Endow. 8(4): 449-460 (2014) - [j27]Renzo Angles
The linked data benchmark council: a graph and RDF industry benchmarking effort. SIGMOD Rec. 43(1): 27-31 (2014) - [j26]Alfons Kemper, Thomas Neumann
The Database Group at TUM. SIGMOD Rec. 43(3): 55-60 (2014) - [c64]Tobias Mühlbauer, Wolf Rödiger, Robert Seilbeck, Alfons Kemper, Thomas Neumann
Heterogeneity-conscious parallel query execution: getting a better mileage while driving faster! DaMoN 2014: 2:1-2:10 - [c63]Andrey Gubichev, Thomas Neumann
Exploiting the query structure for efficient join ordering in SPARQL queries. EDBT 2014: 439-450 - [c62]Viktor Leis, Alfons Kemper, Thomas Neumann
Exploiting hardware transactional memory in main-memory databases. ICDE 2014: 580-591 - [c61]Wolf Rödiger, Tobias Mühlbauer, Philipp Unterbrunner, Angelika Reiser, Alfons Kemper, Thomas Neumann
Locality-sensitive operators for parallel main-memory database clusters. ICDE 2014: 592-603 - [c60]Alfons Kemper, Thomas Neumann
Main-memory database systems. ICDE 2014: 1310 - [c59]Tobias Mühlbauer, Wolf Rödiger, Robert Seilbeck, Angelika Reiser, Alfons Kemper, Thomas Neumann
One DBMS for all: the brawny few and the wimpy crowd. SIGMOD Conference 2014: 697-700 - [c58]Viktor Leis, Peter A. Boncz, Alfons Kemper, Thomas Neumann
Morsel-driven parallelism: a NUMA-aware query evaluation framework for the many-core age. SIGMOD Conference 2014: 743-754 - [c57]Nikolaus Augsten
On-the-fly token similarity joins in relational databases. SIGMOD Conference 2014: 1495-1506 - [c56]Iraklis Psaroudakis, Florian Wolf, Norman May, Thomas Neumann
Scaling Up Mixed Workloads: A Battle of Data Freshness, Flexibility, and Scheduling. TPCTC 2014: 97-112 - [c55]Dimitri Vorona, Florian Funke, Alfons Kemper, Thomas Neumann
Benchmarking Elastic Query Processing on Big Data. WBDB 2014: 37-44 - [p2]Andrey Gubichev, Thomas Neumann:
Efficient Query Processing in RDF Databases. Linked Data Management 2014: 117-135 - 2013
- [j25]Alfons Kemper, Tobias Mühlbauer, Thomas Neumann
Bericht vom Herbsttreffen der GI-Fachgruppe Datenbanksysteme. Datenbank-Spektrum 13(1): 65-66 (2013) - [j24]Peter A. Boncz, Irini Fundulaki, Andrey Gubichev, Josep Lluís Larriba-Pey, Thomas Neumann
The Linked Data Benchmark Council Project. Datenbank-Spektrum 13(2): 121-129 (2013) - [j23]Alfons Kemper, Thomas Neumann
Vorstellung des Lehrstuhls für Datenbanksysteme der TUM. Datenbank-Spektrum 13(3): 231-236 (2013) - [j22]Alfons Kemper, Thomas Neumann, Jan Finis, Florian Funke, Viktor Leis, Henrik Mühe, Tobias Mühlbauer, Wolf Rödiger:
Processing in the Hybrid OLTP & OLAP Main-Memory Database System HyPer. IEEE Data Eng. Bull. 36(2): 41-47 (2013) - [j21]Goetz Graefe, Anisoara Nica, Knut Stolze, Thomas Neumann
Elasticity in Cloud Databases and Their Query Processing. Int. J. Data Warehous. Min. 9(2): 1-20 (2013) - [j20]Yanlei Diao, Thomas Neumann:
Front Matter. Proc. VLDB Endow. 6(9): i-x (2013) - [j19]Tobias Mühlbauer, Wolf Rödiger, Robert Seilbeck, Angelika Reiser, Alfons Kemper, Thomas Neumann:
Instant Loading for Main Memory Databases. Proc. VLDB Endow. 6(14): 1702-1713 (2013) - [c54]Martina-Cezara Albutiu, Alfons Kemper, Thomas Neumann:
Extending the MPSM Join. BTW 2013: 57-71 - [c53]Thomas Neumann, César A. Galindo-Legaria:
Taking the Edge off Cardinality Estimation Errors using Incremental Execution. BTW 2013: 73-92 - [c52]Thomas Neumann:
Studierendenprogramm: Aufruf zu Beiträgen. BTW Workshops 2013: 211 - [c51]Tobias Mühlbauer, Wolf Rödiger, Angelika Reiser, Alfons Kemper, Thomas Neumann:
ScyPer: A Hybrid OLTP&OLAP Distributed Main Memory Database System for Scalable Real-Time Analytics. BTW 2013: 499-502 - [c50]Henrik Mühe, Alfons Kemper, Thomas Neumann:
Executing Long-Running Transactions in Synchronization-Free Main Memory Database Systems. CIDR 2013 - [c49]Holger Pirk, Florian Funke, Martin Grund, Thomas Neumann
CPU and cache efficient management of memory-resident databases. ICDE 2013: 14-25 - [c48]Viktor Leis, Alfons Kemper, Thomas Neumann
The adaptive radix tree: ARTful indexing for main-memory databases. ICDE 2013: 38-49 - [c47]Tobias Mühlbauer, Wolf Rödiger, Angelika Reiser, Alfons Kemper, Thomas Neumann:
ScyPer: elastic OLAP throughput on transactional data. DanaC@SIGMOD 2013: 11-15 - [c46]Jan Finis, Robert Brunel, Alfons Kemper, Thomas Neumann
DeltaNI: an efficient labeling scheme for versioned hierarchical data. SIGMOD Conference 2013: 905-916 - [c45]Peter A. Boncz, Thomas Neumann
TPC-H Analyzed: Hidden Messages and Lessons Learned from an Influential Benchmark. TPCTC 2013: 61-76 - [c44]Harald Lang, Viktor Leis, Martina-Cezara Albutiu, Thomas Neumann, Alfons Kemper:
Massively Parallel NUMA-aware Hash Joins. IMDM@VLDB 2013: 1-12 - [c43]Harald Lang, Viktor Leis, Martina-Cezara Albutiu, Thomas Neumann
Massively Parallel NUMA-Aware Hash Joins. IMDM@VLDB (Revised Selected Papers) 2013: 3-14 - [c42]Henrik Mühe, Stephan Wolf, Alfons Kemper, Thomas Neumann:
An Evaluation of Strict Timestamp Ordering Concurrency Control for Main-Memory Database Systems. IMDM@VLDB 2013: 74-85 - [c41]Stephan Wolf, Henrik Mühe, Alfons Kemper, Thomas Neumann
An Evaluation of Strict Timestamp Ordering Concurrency Control for Main-Memory Database Systems. IMDM@VLDB (Revised Selected Papers) 2013: 82-93 - [e3]Gunter Saake, Andreas Henrich, Wolfgang Lehner, Thomas Neumann, Veit Köppen:
Datenbanksysteme für Business, Technologie und Web (BTW), - Workshopband, 15. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 11.-15.3.2013 in Magdeburg, Germany. Proceedings. LNI P-216, GI 2013, ISBN 978-3-88579-610-7 [contents] - [e2]Peter A. Boncz, Thomas Neumann:
First International Workshop on Graph Data Management Experiences and Systems, GRADES 2013, co-located with SIGMOD/PODS 2013, New York, NY, USA, June 24, 2013. CWI/ACM 2013, ISBN 978-1-4503-2188-4 [contents] - [e1]Arun Jagatheesan, Justin J. Levandoski, Thomas Neumann:
Proceedings of the 1st International Workshop on In Memory Data Management and Analytics, IMDM 2013, Riva Del Garda, Italy, August 26, 2013. 2013 [contents] - 2012
- [j18]Alfons Kemper, Thomas Neumann, Florian Funke, Viktor Leis, Henrik Mühe:
HyPer: Adapting Columnar Main-Memory Data Management for Transactional AND Query Processing. IEEE Data Eng. Bull. 35(1): 46-51 (2012) - [j17]Martina-Cezara Albutiu, Alfons Kemper, Thomas Neumann:
Massively Parallel Sort-Merge Joins in Main Memory Multi-Core Database Systems. Proc. VLDB Endow. 5(10): 1064-1075 (2012) - [j16]Florian Funke, Alfons Kemper, Thomas Neumann:
Compacting Transactional Data in Hybrid OLTP & OLAP Databases. Proc. VLDB Endow. 5(11): 1424-1435 (2012) - [c40]Veneta Dobreva, Martina-Cezara Albutiu, Robert Brunel, Thomas Neumann
Get Tracked: A Triple Store for RFID Traceability Data. ADBIS 2012: 167-180 - [c39]Andrey Gubichev, Thomas Neumann
Fast approximation of steiner trees in large graphs. CIKM 2012: 1497-1501 - [c38]Henrik Mühe, Alfons Kemper, Thomas Neumann
The mainframe strikes back: elastic multi-tenancy using main memory database systems on a many-core server. EDBT 2012: 578-581 - [c37]Pit Fender, Guido Moerkotte, Thomas Neumann
Effective and Robust Pruning for Top-Down Join Enumeration Algorithms. ICDE 2012: 414-425 - [i3]Martina-Cezara Albutiu, Alfons Kemper, Thomas Neumann
Massively Parallel Sort-Merge Joins in Main Memory Multi-Core Database Systems. CoRR abs/1207.0145 (2012) - [i2]Florian Funke, Alfons Kemper, Thomas Neumann
Compacting Transactional Data in Hybrid OLTP & OLAP Databases. CoRR abs/1208.0224 (2012) - 2011
- [j15]Thomas Neumann
RDF-Stores und RDF-Query-Engines. Datenbank-Spektrum 11(1): 63-66 (2011) - [j14]Florian Funke, Alfons Kemper, Henrik Mühe, Thomas Neumann
HyPer: Die effiziente Reinkarnation des Schattenspeichers in einem Hauptspeicher-DBMS. Datenbank-Spektrum 11(2): 111-122 (2011) - [j13]Thomas Neumann:
Efficiently Compiling Efficient Query Plans for Modern Hardware. Proc. VLDB Endow. 4(9): 539-550 (2011) - [j12]Guido Moerkotte, Thomas Neumann:
Accelerating Queries with Group-By and Join by Groupjoin. Proc. VLDB Endow. 4(11): 843-851 (2011) - [j11]Florian Funke, Alfons Kemper, Thomas Neumann:
HyPer-sonic Combined Transaction AND Query Processing. Proc. VLDB Endow. 4(12): 1367-1370 (2011) - [c36]Florian Funke, Alfons Kemper, Thomas Neumann:
Benchmarking Hybrid OLTP&OLAP Database Systems. BTW 2011: 390-409 - [c35]Henrik Mühe, Alfons Kemper, Thomas Neumann
How to efficiently snapshot transactional data: hardware or software controlled? DaMoN 2011: 17-26 - [c34]Thomas Neumann:
Efficient Query Processing on Modern Hardware. Grundlagen von Datenbanken 2011: 3 - [c33]Alfons Kemper, Thomas Neumann
HyPer: A hybrid OLTP&OLAP main memory database system based on virtual memory snapshots. ICDE 2011: 195-206 - [c32]Thomas Neumann
Characteristic sets: Accurate cardinality estimation for RDF queries with multiple joins. ICDE 2011: 984-994 - [c31]Henrik Mühe, Alfons Kemper, Thomas Neumann:
The mainframe strikes back: multi tenancy in the Main memory database hyper on a TB-server. IMDM 2011: 83-90 - [c30]Richard L. Cole, Florian Funke, Leo Giakoumakis, Wey Guy, Alfons Kemper, Stefan Krompass, Harumi A. Kuno, Raghunath Othayoth Nambiar, Thomas Neumann
The mixed workload CH-benCHmark. DBTest 2011: 8 - [c29]Florian Funke, Alfons Kemper, Stefan Krompass, Harumi A. Kuno, Raghunath Othayoth Nambiar, Thomas Neumann
Metrics for Measuring the Performance of the Mixed Workload CH-benCHmark. TPCTC 2011: 10-30 - [c28]Andrey Gubichev, Thomas Neumann:
Path Query Processing on Very Large RDF Graphs. WebDB 2011 - 2010
- [j10]Thomas Neumann, Gerhard Weikum:
x-RDF-3X: Fast Querying, High Update Rates, and Consistency for RDF Databases. Proc. VLDB Endow. 3(1): 256-263 (2010) - [j9]Thomas Neumann
The RDF-3X engine for scalable management of RDF data. VLDB J. 19(1): 91-113 (2010) - [c27]Alfons Kemper, Thomas Neumann
One Size Fits all, Again! The Architecture of the Hybrid OLTP&OLAP Database Management System HyPer. BIRTE 2010: 7-23 - [c26]Nicoleta Preda, Gjergji Kasneci
Active knowledge: dynamically enriching RDF knowledge bases by web services. SIGMOD Conference 2010: 399-410
2000 – 2009
- 2009
- [j8]Thomas Neumann
Distributed top-k aggregation queries at large. Distributed Parallel Databases 26(1): 3-27 (2009) - [j7]Thomas Neumann
Generating optimal DAG-structured query evaluation plans. Comput. Sci. Res. Dev. 24(3): 103-117 (2009) - [j6]Guido Moerkotte, Thomas Neumann, Gabriele Steidl:
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors. Proc. VLDB Endow. 2(1): 982-993 (2009) - [j5]Nicoleta Preda, Fabian M. Suchanek, Gjergji Kasneci
ANGIE: Active Knowledge for Interactive Exploration. Proc. VLDB Endow. 2(2): 1570-1573 (2009) - [c25]Thomas Neumann, Guido Moerkotte:
A Framework for Reasoning about Share Equivalence and Its Integration into a Plan Generator. BTW 2009: 7-26 - [c24]Thomas Neumann
Query simplification: graceful degradation for join-order optimization. SIGMOD Conference 2009: 403-414 - [c23]Thomas Neumann
Scalable join processing on very large RDF graphs. SIGMOD Conference 2009: 627-640 - [r2]Thomas Neumann
Query Optimization (in Relational Databases). Encyclopedia of Database Systems 2009: 2273-2278 - [r1]Mouna Kacimi, Thomas Neumann
System R (R*) Optimizer. Encyclopedia of Database Systems 2009: 2900-2905 - 2008
- [j4]Ralf Schenkel, Tom Crecelius, Mouna Kacimi, Thomas Neumann, Josiane Xavier Parreira
Social Wisdom for Search and Recommendation. IEEE Data Eng. Bull. 31(2): 40-49 (2008) - [j3]Thomas Neumann, Gerhard Weikum:
RDF-3X: a RISC-style engine for RDF. Proc. VLDB Endow. 1(1): 647-659 (2008) - [j2]Tom Crecelius, Mouna Kacimi, Sebastian Michel, Thomas Neumann, Josiane Xavier Parreira
Making SENSE: socially enhanced search and exploration. Proc. VLDB Endow. 1(2): 1480-1483 (2008) - [c22]Thomas Neumann
Smooth Interpolating Histograms with Error Guarantees. BNCOD 2008: 126-138 - [c21]Matthias Bender, Tom Crecelius, Mouna Kacimi, Sebastian Michel, Thomas Neumann
Exploiting social relations for query expansion and result ranking. ICDE Workshops 2008: 501-506 - [c20]Guido Moerkotte, Thomas Neumann
Faster Join Enumeration for Complex Queries. ICDE 2008: 1430-1432 - [c19]Mauro Sozio, Thomas Neumann
Near-optimal dynamic replication in unstructured peer-to-peer networks. PODS 2008: 281-290 - [c18]Ralf Schenkel
Efficient top-k querying over social-tagging networks. SIGIR 2008: 523-530 - [c17]Tom Crecelius, Mouna Kacimi, Sebastian Michel, Thomas Neumann
Social recommendations at work. SIGIR 2008: 884 - [c16]Guido Moerkotte, Thomas Neumann
Dynamic programming strikes back. SIGMOD Conference 2008: 539-552 - [c15]Thomas Neumann
Optimizing Distributed Top-k Queries. WISE 2008: 337-349 - [i1]Anish Das Sarma, Ander de Keijzer, Amol Deshpande, Peter J. Haas, Ihab F. Ilyas, Christoph Koch, Thomas Neumann, Dan Olteanu, Martin Theobald
08421 Working Group: Classification, Representation and Modeling. Uncertainty Management in Information Systems 2008 - 2007
- [j1]Thomas Neumann
Algebraic query optimization for distributed top-k queries. Inform. Forsch. Entwickl. 21(3-4): 197-211 (2007) - [c14]Thomas Neumann, Sebastian Michel:
Algebraic Query Optimization for Distributed Top-k Queries. BTW 2007: 324-343 - [c13]Sven Helmer, Robin Aly
Indexing Set-Valued Attributes with a Multi-level Extendible Hashing Scheme. DEXA 2007: 98-108 - [c12]Thomas Neumann
Optimizing Ranked Retrieval. DEXA 2007: 329-338 - [c11]Klaus Berberich, Srikanta J. Bedathur, Thomas Neumann
A time machine for text search. SIGIR 2007: 519-526 - [c10]Klaus Berberich, Srikanta J. Bedathur, Thomas Neumann, Gerhard Weikum:
FluxCapacitor: Efficient Time-Travel Text Search. VLDB 2007: 1414-1417 - [c9]Sebastian Michel, Thomas Neumann:
Search for the Best but Expect the Worst - Distributed Top-k Queries over Decreasing Aggregated Scores. WebDB 2007 - 2006
- [c8]Thomas Neumann
On the Optimal Ordering of Maps, Selections, and Joins Under Factorization. BNCOD 2006: 115-126 - [c7]Thomas Neumann, Matthias Bender, Sebastian Michel, Gerhard Weikum:
A Reproducible Benchmark for P2P Retrieval. ExpDB 2006: 1-8 - [c6]Guido Moerkotte, Thomas Neumann:
Analysis of Two Existing and One New Dynamic Programming Algorithm for the Generation of Optimal Bushy Join Trees without Cross Products. VLDB 2006: 930-941 - 2005
- [b1]Thomas Neumann:
Efficient generation and execution of DAG-structured query graphs. University of Mannheim, Germany, 2005, pp. 1-168 - [c5]Thomas Neumann
On the Optimal Ordering of Maps and Selections under Factorization. ICDE 2005: 490-501 - [p1]Thomas Neumann:
Effiziente Generierung und Ausfuehrung von DAG-strukturierten Anfragegraphen. Ausgezeichnete Informatikdissertationen 2005: 95-104 - 2004
- [c4]Thomas Neumann
An Efficient Framework for Order Optimization. ICDE 2004: 461-472 - [c3]Thomas Neumann, Guido Moerkotte:
A Combined Framework for Grouping and Order Optimization. VLDB 2004: 960-971 - 2003
- [c2]Sven Helmer, Thomas Neumann
A Robust Scheme for Multilevel Extendible Hashing. ISCIS 2003: 220-227 - [c1]Sven Helmer, Thomas Neumann, Guido Moerkotte:
Estimating the Output Cardinality of Partial Preaggregation with a Measure of Clusteredness. VLDB 2003: 656-667
Coauthor Index
[j80] [c149] [c147] [c145] [c144] [c142] [i14] [j71] [j70] [j68] [j67] [j66] [c138] [c137] [c136] [c135] [c134] [c133] [c132] [c131] [c130] [c123] [c122] [c121] [j58] [j57] [j55] [j54] [j53] [j52] [c120] [c118] [c116] [c115] [c113] [c111] [c109] [c108] [i13] [i12] [j50] [j49] [j47] [c105] [c104] [c103] [c102] [c100] [c98] [c97] [c96] [c94] [c93] [c91] [i11] [i10] [i8] [i7] [i6] [j46] [j45] [j44] [c90] [c89] [c87] [c85] [c83] [i5] [j43] [j42] [j41] [j40] [j39] [j38] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [p3] [j37] [c75] [c74] [c73] [c72] [c71] [j35] [j34] [j33] [j32] [c70] [c69] [c68] [c67] [c66] [c65] [i4] [j31] [j28] [j26] [c64] [c62] [c61] [c60] [c59] [c58] [c57] [c55] [j25] [j23] [j22] [j19] [c54] [c51] [c50] [c49] [c48] [c47] [c46] [c44] [c43] [c42] [c41] [j18] [j17] [j16] [c40] [c38] [i3] [i2] [j14] [j11] [c36] [c35] [c33] [c31] [c30] [c29] [c27]
[j79] [c151] [j75] [c143] [j71] [c136] [j60] [j59] [c132] [c126] [c125] [j56] [j55] [j52] [c118] [c113] [c110] [c109] [j51] [j49] [c107] [c102] [c100] [c99] [c93] [i11] [i10] [i9] [j45] [j44] [c89] [c88] [c85] [c83] [j41] [j39] [c82] [c80] [p3] [j37] [c75] [j34] [j33] [j31] [j30] [c62] [c58] [j22] [c48] [c44] [c43] [j18] [c37]
Maximilian E. Schüle
aka: Maximilian Emanuel Schüle
aka: Maximilian Emanuel Schüle
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