Intelligent Analytics for Massive Data

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1. Ahmet Kerem Aksoy; Pavel Dushev; Eleni Tzirita Zacharatou; Holmer Hemsen; Marcela Charfuelan Oliva; Jorge Arnulfo Quiane Ruiz; Begüm Demir; Volker Markl

   Satellite Image Search in AgoraEO

   In: Fatma Ozcan; Juliana Freire; Xuemin Li (Hrsg.). Proceedings of the 48th International Conference on Very Large Databases. International Conference on Very Large Data Bases (VLDB-2022), September 5-9, Sydney, Australia, Pages 3646-3649, Vol. 15, No. 12, VLDB Endowment Inc, 8/2022.

2. Steffen Zeuch; Xenofon Chatziliadis; Ankit Chaudhary; Ariane Ziehn; Dimitrios Giouroukis; Philipp M. Grulich; Dwi Prasetyo Adi Nugroho; Volker Mark

   NebulaStream: Data Management for the Internet of Things

   In: Datenbank-Spektrum (Spektrum), Vol. 22 (2), Pages 131-141, Springer, 5/2022.

3. Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Zoi Kaoudi; Tilmann Rabl; Volker Markl

   Materialization and Reuse Optimizations for Production Data Science Pipelines

   In: SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD), June 12-17, Philadelphia, USA, The ACM Special Interest Group on Management of Data, 2022.

4. Ariane Ziehn; Christian Mandel; Kathrin Stich; Rolf Dembinski; Karin Hochbaum; Zeuch Steffen; Volker Markl

   IoT-PMA: Patient Health Monitoring in Medical IoT Ecosystems

   In: Open Journal of Internet of Things (OJIOT), Vol. 8, No. 1, Pages 20-31, OJIOT, RonPub UG, Lübeck, 2022.

5. Clemens Lutz; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl

   Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects

   In: SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2022), June 12-17, Philadelphia, PA, USA, Pages 1017-1032, ISBN 978-1-4503-9249-5, ACM, 2022.

6. Bonaventura Del Monte; Steffen Zeuch; Tilmann Rabl; Volker Markl

   Rethinking Stateful Stream Processing with RDMA

   In: SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2022), June 12-17, Philadelphia, PA, USA, Pages 1078-1092, ISBN 978-1-4503-9249-5, ACM, 2022.

7. Sebastian Baunsgaard; Matthias Boehm; Ankit Chaudhary; Behrouz Derakhshan; Stefan Geißelsöder; Philipp M. Grulich; Michael Hildebrand; Kevin Innerebner; Volker Markl; Claus Neubauer; Sarah Osterburg; Olga Ovcharenko; Sergey Redyuk; Tobias Rieger; Alireza Rezaei Mahdiraji; Sebastian Benjamin Wrede; Steffen Zeuch

   ExDRa: Exploratory Data Science on Federated Raw Data.

   In: SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2021), Pages 2450-2463, ISBN 978-145038343-1, ACM, New York, NY, 2021.

8. Ioannis Prapas; Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Volker Markl

   Continuous Training and Deployment of Deep Learning Models

   In: Datenbank-Spektrum (Spektrum), Vol. 21, No. 3, Pages 203-212, Springer, 2021.

9. Christos Kotselidis; Sotiris Diamantopoulos; Orestis Akrivopoulos; Viktor Rosenfeld; Katerina DOka; Hazeef Mohammed; Georgios Mylonas; Vassilis Spitadakis; Will Morgan; Juan Fumero; Foivos S. Zakkak; Michail Papadimitriou; Maria Xekalaki; Nikos Foutris; Athanasios Stratikopoulos; Nectarios Koziris; Ioannis Konstantinou; Ioannis Mytilinis; Constatinos Bitsakos; Christos Tsalidis; Christos Tselios; Nikolaos Kanakis; Clemens Lutz; Sebastian Breß; Volker Markl

   Efficient Compilation and Execution of JVM-Based Data Processing Frameworks on Heterogeneous Co-Processors

   In: Design, Automation & Test in Europe. Design, Automation & Test in Europe (DATE-2020), March 9-13, Grenoble, France, IEEE, 2020.

10. Clemens Lutz; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl

    Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects

    In: David Maier; Rachel Pottinger (Hrsg.). Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), June 14-19, Portland, OR, USA, Pages 1633-1649, ISBN 978-1-4503-6735-6, The Association for Computing Machinery, 2020.

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