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TU Berlin

Inhalt des Dokuments

Publikationen

E

AdCom: Adaptive Combiner for Streaming Aggregations

Gutierrez, Felipe and Beedkar, Kaustubh and Souza, Abel and Markl, Volker

EDBT 2021

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Automating Data Quality Validation for Dynamic Data Ingestion

Redyuk, Sergey and Kaoudi, Zoi and Markl, Volker and Schelter, Sebastian

EDBT 2021

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e

Big Data Analytics on Modern Hardware Architectures: A Technology Survey.

Michael Saecker, Volker Markl

eBISS, European Business Intelligence Summer School, Part of the Lecture Notes in Business Information Processing book series (LNBIP) 2012

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D

A Survey of Adaptive Sampling and Filtering Algorithms for the Internet of Things

Dimitrios Giouroukis, Alexander Dadiani, Jonas Traub, Steffen Zeuch, Volker Markl

DEBS 2020

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Generating Reproducible Out-of-Order Data Streams

Philipp M. Grulich, Jonas Traub, Sebastian Bress, Asterios Katsifodimos, Volker Markl, Tilmann Rabl

DEBS 2019

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Efficient and Scalable k‑Means on GPUs

Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl

Datenbank-Spektrum 18(3), 157-169. 2018

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Load-aware inter-co-processor parallelism in database query processing

Sebastian Breß and Norbert Siegmund and Max Heimel and Michael Saecker and Tobias Lauer and Ladjel Bellatreche and Gunter Saake

Data Knowl. Eng., 60–79. 2014

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Time Series Similarity Search for Streaming Data in Distributed Systems

Ariane Ziehn, Marcela Charfuelan, Holmer Hemsen, Volker Markl

DARLI_AP Workshop, co-located with EDBT/ICDT 2019 2019

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Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs

Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

DaMoN ’19: Data Management on New Hardware. ACM, new York, NY, USA. 2019

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Efficient k-means on GPUs

Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl

Proceedings of the 14th International Workshop on Data Management on New Hardware (DAMON '18), 3:1 - 3:3. 2018

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