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Jan Finis

Jan P. Finis

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affiliation: Technische Universität München, Germany

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2020 – today

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2023
[c6]
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  - conf/icde/BonczCFHL0NSSZ23
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  - https://dblp.org/rec/conf/icde/BonczCFHL0NSSZ23
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

2010 – 2019

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2018
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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
2017
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Jan Finis, Robert Brunel, Alfons Kemper, Thomas Neumann, Norman May, Franz Färber:
Order Indexes: supporting highly dynamic hierarchical data in relational main-memory database systems. VLDB J. 26(1): 55-80 (2017)
2016
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Jan P. Finis:
On Supporting Hierarchical Data in Relational Main-Memory Database Systems. Technical University Munich, Germany, 2016
2015
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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)
[c4]
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Robert Brunel, Jan Finis, Gerald Franz, Norman May, Alfons Kemper, Thomas Neumann, Franz Färber:
Supporting hierarchical data in SAP HANA. ICDE 2015: 1280-1291
2013
[j1]
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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)
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Robert Brunel, Jan Finis:
Eine effiziente Indexstruktur für dynamische hierarchische Daten. BTW Workshops 2013: 267-276
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Jan P. Finis, Martin Raiber, Nikolaus Augsten, Robert Brunel, Alfons Kemper, Franz Färber:
RWS-Diff: flexible and efficient change detection in hierarchical data. CIKM 2013: 339-348
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Jan Finis, Robert Brunel, Alfons Kemper, Thomas Neumann, Franz Färber, Norman May:
DeltaNI: an efficient labeling scheme for versioned hierarchical data. SIGMOD Conference 2013: 905-916

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