Intelligent Analytics for Massive Data

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1. Wang Yue; Rafael Moczalla; Manisha Luthra; Tilmann Rabl

   Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications

   In: Proceedings 27th International Conference on Extending Database Technology ( EDBT 2024 ). International Conference on Extending Database Technology (EDBT-2024), 27th International Conference on Extending Database Technology, March 25-28, Italy, ISBN 978-3-89318-091-2, OpenProceeedings.org, 2024.

2. 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.

3. 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.

4. Christian Mandel; Kathrin Stich; Serge Autexier; Christoph Lüth; Ariane Ziehn; Karin Hochbaum; Rolf Dembinski; Christoph Int-Veen

   Using Gated Recurrent Unit Networks for the Prediction of Hemodynamic and Pulmonary Decompensation

   In: Proceedings of the 44th. International Conference of the IEEE Engineering in Medicine and Biology Society. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-2022), Biomedical Engineering transforming the provision of healthcare: promoting wellness through personalized & predictable provision at the point of care, July 11-15, Glasgow, United Kingdom, IEEE Xplore, 2022.

5. 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.

6. 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.

7. Roman Heinrich; Manisha Luthra; Harald Kornmayer; Carsten Binnig

   Zero-shot cost models for distributed stream processing

   In: Yongluan Zhou; Panos K. Chrysanthis; Vincenzo Gulisano; Eleni Tzirita Zacharatou (Hrsg.). 16th ACM International Conference on Distributed and Event-based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2022), June 27-30, Copenhagen, Denmark, Pages 85-90, ACM, 2022.

8. Pratyush Agnihotri; Boris Koldehofe; Carsten Binnig; Manisha Luthra

   PANDA: performance prediction for parallel and dynamic stream processing

   In: Yongluan Zhou; Panos K. Chrysanthis; Vincenzo Gulisano; Eleni Tzirita Zacharatou (Hrsg.). 16th ACM International Conference on Distributed and Event-based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2022), June 27-30, Copenhagen, Denmark, Pages 180-181, ACM, 2022.

9. 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.

10. 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.

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